Computes user specified functions on numerical columns and updates the metadata data frame accordingly.
Source:R/analysis-functions.R
sample_statistics.Rd![[Stable]](figures/lifecycle-stable.svg)
The function operates on a data frame by grouping the content by
the sample key and computing every function specified on every
column in the value_columns parameter. After that the metadata
data frame is updated by including the computed results as columns
for the corresponding key.
For this reason it's required that both x and metadata have the
same sample key, and it's particularly important if the user is
working with previously aggregated data.
For example:
data("integration_matrices", package = "ISAnalytics")
data("association_file", package = "ISAnalytics")
aggreg <- aggregate_values_by_key(
x = integration_matrices,
association_file = association_file,
value_cols = c("seqCount", "fragmentEstimate")
)
aggreg_meta <- aggregate_metadata(association_file = association_file)
sample_stats <- sample_statistics(x = aggreg,
metadata = aggreg_meta,
value_columns = c("seqCount", "fragmentEstimate"),
sample_key = c("SubjectID", "CellMarker","Tissue", "TimePoint"))
Usage
sample_statistics(
x,
metadata,
sample_key = "CompleteAmplificationID",
value_columns = "Value",
functions = default_stats(),
add_integrations_count = TRUE
)Arguments
- x
A data frame
- metadata
The metadata data frame
- sample_key
Character vector representing the key for identifying a sample
- value_columns
The name of the columns to be computed, must be numeric or integer
- functions
A named list of function or purrr-style lambdas
- add_integrations_count
Add the count of distinct integration sites for each group? Can be computed only if
xcontains the mandatory columnsmandatory_IS_vars()
Required tags
The function will explicitly check for the presence of these tags:
All columns declared in
mandatory_IS_vars()
These are checked only if add_integrations_count = TRUE.
See also
Other Analysis functions:
CIS_grubbs(),
HSC_population_size_estimate(),
compute_abundance(),
cumulative_is(),
gene_frequency_fisher(),
is_sharing(),
iss_source(),
top_integrations(),
top_targeted_genes()
Examples
data("integration_matrices", package = "ISAnalytics")
data("association_file", package = "ISAnalytics")
stats <- sample_statistics(
x = integration_matrices,
metadata = association_file,
value_columns = c("seqCount", "fragmentEstimate")
)
stats
#> $x
#> # A tibble: 53 × 38
#> CompleteAmplificationID seqCount_sum seqCount_count seqCount_shannon
#> <chr> <dbl> <int> <dbl>
#> 1 PJ01_POOL01_LTR19LC2_PT001_PT00… 3029 22 1.82
#> 2 PJ01_POOL01_LTR27LC94_PT001_PT0… 80610 67 3.02
#> 3 PJ01_POOL01_LTR29LC90_PT001_PT0… 30 8 1.89
#> 4 PJ01_POOL01_LTR37LC18_PT001_PT0… 44 10 2.00
#> 5 PJ01_POOL01_LTR37LC2_PT001_PT00… 50859 82 3.76
#> 6 PJ01_POOL01_LTR49LC12_PT001_PT0… 33 10 1.93
#> 7 PJ01_POOL01_LTR53LC22_PT001_PT0… 1 1 0
#> 8 PJ01_POOL01_LTR53LC32_PT001_PT0… 129867 72 3.24
#> 9 PJ01_POOL01_LTR57LC20_PT001_PT0… 57443 20 2.41
#> 10 PJ01_POOL01_LTR5LC64_PT001_PT00… 41488 39 2.89
#> # ℹ 43 more rows
#> # ℹ 34 more variables: seqCount_simpson <dbl>, seqCount_invsimpson <dbl>,
#> # fragmentEstimate_sum <dbl>, fragmentEstimate_count <int>,
#> # fragmentEstimate_shannon <dbl>, fragmentEstimate_simpson <dbl>,
#> # fragmentEstimate_invsimpson <dbl>, seqCount_describe_vars <dbl>,
#> # seqCount_describe_n <dbl>, seqCount_describe_mean <dbl>,
#> # seqCount_describe_sd <dbl>, seqCount_describe_median <dbl>, …
#>
#> $metadata
#> ProjectID FUSIONID PoolID TagSequence SubjectID VectorType VectorID
#> 1: PJ01 ET#382.46 POOL01 LTR75LC38 PT001 lenti GLOBE
#> 2: PJ01 ET#381.40 POOL01 LTR53LC32 PT001 lenti GLOBE
#> 3: PJ01 ET#381.9 POOL01 LTR83LC66 PT001 lenti GLOBE
#> 4: PJ01 ET#381.71 POOL01 LTR27LC94 PT001 lenti GLOBE
#> 5: PJ01 ET#381.2 POOL01 LTR69LC52 PT001 lenti GLOBE
#> 6: PJ01 ET#382.28 POOL01 LTR37LC2 PT001 lenti GLOBE
#> 7: PJ01 ET#382.2 POOL01 LTR77LC46 PT001 lenti GLOBE
#> 8: PJ01 ET#382.50 POOL01 LTR83LC46 PT001 lenti GLOBE
#> 9: PJ01 ET#381.21 POOL01 LTR9LC90 PT001 lenti GLOBE
#> 10: PJ01 ET#407.28 POOL02 LTR65LC56 PT001 lenti GLOBE
#> 11: PJ01 ET#381.33 POOL01 LTR37LC18 PT001 lenti GLOBE
#> 12: PJ01 ET#382.15 POOL01 LTR7LC72 PT001 lenti GLOBE
#> 13: PJ01 ET#382.6 POOL01 LTR85LC54 PT001 lenti GLOBE
#> 14: PJ01 ET#381.52 POOL01 LTR77LC56 PT001 lenti GLOBE
#> 15: PJ01 ET#382.55 POOL01 LTR93LC56 PT001 lenti GLOBE
#> 16: PJ01 ET#381.25 POOL01 LTR19LC2 PT001 lenti GLOBE
#> 17: PJ01 ET#382.11 POOL01 LTR95LC64 PT001 lenti GLOBE
#> 18: PJ01 ET#382.33 POOL01 LTR49LC12 PT001 lenti GLOBE
#> 19: PJ01 ET#382.37 POOL01 LTR57LC20 PT001 lenti GLOBE
#> 20: PJ01 ET#382.59 POOL01 LTR5LC64 PT001 lenti GLOBE
#> 21: PJ01 ET#381.56 POOL01 LTR85LC64 PT001 lenti GLOBE
#> 22: PJ01 ET#381.87 POOL01 LTR61LC30 PT001 lenti GLOBE
#> 23: PJ01 ET#408.37 POOL02 LTR87LC74 PT001 lenti GLOBE
#> 24: PJ01 ET#382.24 POOL01 LTR29LC90 PT001 lenti GLOBE
#> 25: PJ01 ET#381.83 POOL01 LTR53LC22 PT001 lenti GLOBE
#> 26: PJ01 ET#381.64 POOL01 LTR9LC80 PT001 lenti GLOBE
#> 27: PJ01 FB585.26 POOL03 LTR73LC86 PT002 lenti GLOBE
#> 28: PJ01 ET#408.58 POOL04 LTR41LC20 PT002 lenti GLOBE
#> 29: PJ01 ET#408.27 POOL04 LTR65LC54 PT002 lenti GLOBE
#> 30: PJ01 FB585.4 POOL03 LTR51LC86 PT002 lenti GLOBE
#> 31: PJ01 ET#414.31 POOL04 LTR85LC62 PT002 lenti GLOBE
#> 32: PJ01 ET#408.89 POOL04 LTR11LC82 PT002 lenti GLOBE
#> 33: PJ01 FB585.24 POOL03 LTR71LC90 PT002 lenti GLOBE
#> 34: PJ01 ET#414.16 POOL04 LTR51LC32 PT002 lenti GLOBE
#> 35: PJ01 FB585.46 POOL03 LTR93LC90 PT002 lenti GLOBE
#> 36: PJ01 ET#411.42 POOL04 LTR5LC84 PT002 lenti GLOBE
#> 37: PJ01 ET#414.1 POOL04 LTR13LC2 PT002 lenti GLOBE
#> 38: PJ01 ET#412.41 POOL04 LTR5LC82 PT002 lenti GLOBE
#> 39: PJ01 ET#411.49 POOL04 LTR25LC2 PT002 lenti GLOBE
#> 40: PJ01 ET#411.18 POOL04 LTR49LC36 PT002 lenti GLOBE
#> 41: PJ01 ET#412.23 POOL04 LTR63LC46 PT002 lenti GLOBE
#> 42: PJ01 ET#411.80 POOL04 LTR93LC64 PT002 lenti GLOBE
#> 43: PJ01 FB585.2 POOL03 LTR49LC90 PT002 lenti GLOBE
#> 44: PJ01 FB585.48 POOL03 LTR95LC86 PT002 lenti GLOBE
#> 45: PJ01 ET#412.72 POOL04 LTR79LC48 PT002 lenti GLOBE
#> 46: PJ01 ET#412.65 POOL04 LTR63LC34 PT002 lenti GLOBE
#> 47: PJ01 ET#412.85 POOL04 LTR9LC74 PT002 lenti GLOBE
#> 48: PJ01 ET#412.10 POOL04 LTR33LC20 PT002 lenti GLOBE
#> 49: PJ01 ET#408.82 POOL04 LTR93LC68 PT002 lenti GLOBE
#> 50: PJ01 ET#412.3 POOL04 LTR13LC6 PT002 lenti GLOBE
#> 51: PJ01 ET#412.54 POOL04 LTR37LC12 PT002 lenti GLOBE
#> 52: PJ01 ET#412.34 POOL04 LTR87LC68 PT002 lenti GLOBE
#> 53: PJ01 ET#408.51 POOL04 LTR25LC6 PT002 lenti GLOBE
#> ProjectID FUSIONID PoolID TagSequence SubjectID VectorType VectorID
#> ExperimentID Tissue TimePoint DNAFragmentation PCRMethod TagIDextended
#> 1: <NA> PB 0060 SONIC SLiM LTR75LC38
#> 2: <NA> BM 0180 SONIC SLiM LTR53LC32
#> 3: <NA> BM 0180 SONIC SLiM LTR83LC66
#> 4: <NA> BM 0180 SONIC SLiM LTR27LC94
#> 5: <NA> PB 0180 SONIC SLiM LTR69LC52
#> 6: <NA> BM 0060 SONIC SLiM LTR37LC2
#> 7: <NA> PB 0060 SONIC SLiM LTR77LC46
#> 8: <NA> BM 0060 SONIC SLiM LTR83LC46
#> 9: <NA> PB 0030 SONIC SLiM LTR9LC90
#> 10: <NA> PB 0360 SONIC SLiM LTR65LC56
#> 11: <NA> PB 0180 SONIC SLiM LTR37LC18
#> 12: <NA> BM 0090 SONIC SLiM LTR7LC72
#> 13: <NA> BM 0060 SONIC SLiM LTR85LC54
#> 14: <NA> PB 0030 SONIC SLiM LTR77LC56
#> 15: <NA> PB 0090 SONIC SLiM LTR93LC56
#> 16: <NA> BM 0030 SONIC SLiM LTR19LC2
#> 17: <NA> PB 0090 SONIC SLiM LTR95LC64
#> 18: <NA> PB 0090 SONIC SLiM LTR49LC12
#> 19: <NA> BM 0090 SONIC SLiM LTR57LC20
#> 20: <NA> BM 0090 SONIC SLiM LTR5LC64
#> 21: <NA> BM 0030 SONIC SLiM LTR85LC64
#> 22: <NA> BM 0030 SONIC SLiM LTR61LC30
#> 23: <NA> BM 0360 SONIC SLiM LTR87LC74
#> 24: <NA> PB 0060 SONIC SLiM LTR29LC90
#> 25: <NA> PB 0030 SONIC SLiM LTR53LC22
#> 26: <NA> PB 0180 SONIC SLiM LTR9LC80
#> 27: <NA> BM 0360 SONIC SLiM LTR73LC86
#> 28: <NA> BM 0030 SONIC SLiM LTR41LC20
#> 29: <NA> BM 0030 SONIC SLiM LTR65LC54
#> 30: <NA> BM 0360 SONIC SLiM LTR51LC86
#> 31: <NA> BM 0180 SONIC SLiM LTR85LC62
#> 32: <NA> BM 0030 SONIC SLiM LTR11LC82
#> 33: <NA> PB 0360 SONIC SLiM LTR71LC90
#> 34: <NA> BM 0180 SONIC SLiM LTR51LC32
#> 35: <NA> PB 0360 SONIC SLiM LTR93LC90
#> 36: <NA> PB 0060 SONIC SLiM LTR5LC84
#> 37: <NA> BM 0180 SONIC SLiM LTR13LC2
#> 38: <NA> BM 0090 SONIC SLiM LTR5LC82
#> 39: <NA> BM 0060 SONIC SLiM LTR25LC2
#> 40: <NA> BM 0060 SONIC SLiM LTR49LC36
#> 41: <NA> PB 0180 SONIC SLiM LTR63LC46
#> 42: <NA> BM 0060 SONIC SLiM LTR93LC64
#> 43: <NA> PB 0360 SONIC SLiM LTR49LC90
#> 44: <NA> BM 0360 SONIC SLiM LTR95LC86
#> 45: <NA> BM 0090 SONIC SLiM LTR79LC48
#> 46: <NA> PB 0090 SONIC SLiM LTR63LC34
#> 47: <NA> PB 0180 SONIC SLiM LTR9LC74
#> 48: <NA> BM 0090 SONIC SLiM LTR33LC20
#> 49: <NA> PB 0030 SONIC SLiM LTR93LC68
#> 50: <NA> PB 0090 SONIC SLiM LTR13LC6
#> 51: <NA> PB 0180 SONIC SLiM LTR37LC12
#> 52: <NA> PB 0090 SONIC SLiM LTR87LC68
#> 53: <NA> PB 0030 SONIC SLiM LTR25LC6
#> ExperimentID Tissue TimePoint DNAFragmentation PCRMethod TagIDextended
#> Keywords CellMarker TagID NGSProvider NGSTechnology ConverrtedFilesDir
#> 1: <NA> MNC LTR75.LC38 <NA> HiSeq <NA>
#> 2: <NA> MNC LTR53.LC32 <NA> HiSeq <NA>
#> 3: <NA> MNC LTR83.LC66 <NA> HiSeq <NA>
#> 4: <NA> MNC LTR27.LC94 <NA> HiSeq <NA>
#> 5: <NA> MNC LTR69.LC52 <NA> HiSeq <NA>
#> 6: <NA> MNC LTR37.LC2 <NA> HiSeq <NA>
#> 7: <NA> MNC LTR77.LC46 <NA> HiSeq <NA>
#> 8: <NA> MNC LTR83.LC46 <NA> HiSeq <NA>
#> 9: <NA> MNC LTR9L.C90 <NA> HiSeq <NA>
#> 10: <NA> MNC LTR65.LC56 <NA> HiSeq <NA>
#> 11: <NA> MNC LTR37.LC18 <NA> HiSeq <NA>
#> 12: <NA> MNC LTR7L.C72 <NA> HiSeq <NA>
#> 13: <NA> MNC LTR85.LC54 <NA> HiSeq <NA>
#> 14: <NA> MNC LTR77.LC56 <NA> HiSeq <NA>
#> 15: <NA> MNC LTR93.LC56 <NA> HiSeq <NA>
#> 16: <NA> MNC LTR19.LC2 <NA> HiSeq <NA>
#> 17: <NA> MNC LTR95.LC64 <NA> HiSeq <NA>
#> 18: <NA> MNC LTR49.LC12 <NA> HiSeq <NA>
#> 19: <NA> MNC LTR57.LC20 <NA> HiSeq <NA>
#> 20: <NA> MNC LTR5L.C64 <NA> HiSeq <NA>
#> 21: <NA> MNC LTR85.LC64 <NA> HiSeq <NA>
#> 22: <NA> MNC LTR61.LC30 <NA> HiSeq <NA>
#> 23: <NA> MNC LTR87.LC74 <NA> HiSeq <NA>
#> 24: <NA> MNC LTR29.LC90 <NA> HiSeq <NA>
#> 25: <NA> MNC LTR53.LC22 <NA> HiSeq <NA>
#> 26: <NA> MNC LTR9L.C80 <NA> HiSeq <NA>
#> 27: <NA> MNC LTR73.LC86 <NA> HiSeq <NA>
#> 28: <NA> MNC LTR41.LC20 <NA> HiSeq <NA>
#> 29: <NA> MNC LTR65.LC54 <NA> HiSeq <NA>
#> 30: <NA> MNC LTR51.LC86 <NA> HiSeq <NA>
#> 31: <NA> MNC LTR85.LC62 <NA> HiSeq <NA>
#> 32: <NA> MNC LTR11.LC82 <NA> HiSeq <NA>
#> 33: <NA> MNC LTR71.LC90 <NA> HiSeq <NA>
#> 34: <NA> MNC LTR51.LC32 <NA> HiSeq <NA>
#> 35: <NA> MNC LTR93.LC90 <NA> HiSeq <NA>
#> 36: <NA> MNC LTR5L.C84 <NA> HiSeq <NA>
#> 37: <NA> MNC LTR13.LC2 <NA> HiSeq <NA>
#> 38: <NA> MNC LTR5L.C82 <NA> HiSeq <NA>
#> 39: <NA> MNC LTR25.LC2 <NA> HiSeq <NA>
#> 40: <NA> MNC LTR49.LC36 <NA> HiSeq <NA>
#> 41: <NA> MNC LTR63.LC46 <NA> HiSeq <NA>
#> 42: <NA> MNC LTR93.LC64 <NA> HiSeq <NA>
#> 43: <NA> MNC LTR49.LC90 <NA> HiSeq <NA>
#> 44: <NA> MNC LTR95.LC86 <NA> HiSeq <NA>
#> 45: <NA> MNC LTR79.LC48 <NA> HiSeq <NA>
#> 46: <NA> MNC LTR63.LC34 <NA> HiSeq <NA>
#> 47: <NA> MNC LTR9L.C74 <NA> HiSeq <NA>
#> 48: <NA> MNC LTR33.LC20 <NA> HiSeq <NA>
#> 49: <NA> MNC LTR93.LC68 <NA> HiSeq <NA>
#> 50: <NA> MNC LTR13.LC6 <NA> HiSeq <NA>
#> 51: <NA> MNC LTR37.LC12 <NA> HiSeq <NA>
#> 52: <NA> MNC LTR87.LC68 <NA> HiSeq <NA>
#> 53: <NA> MNC LTR25.LC6 <NA> HiSeq <NA>
#> Keywords CellMarker TagID NGSProvider NGSTechnology ConverrtedFilesDir
#> ConverrtedFilesName SourceFileFolder SourceFileNameR1 SourceFileNameR2
#> 1: <NA> <NA> <NA> <NA>
#> 2: <NA> <NA> <NA> <NA>
#> 3: <NA> <NA> <NA> <NA>
#> 4: <NA> <NA> <NA> <NA>
#> 5: <NA> <NA> <NA> <NA>
#> 6: <NA> <NA> <NA> <NA>
#> 7: <NA> <NA> <NA> <NA>
#> 8: <NA> <NA> <NA> <NA>
#> 9: <NA> <NA> <NA> <NA>
#> 10: <NA> <NA> <NA> <NA>
#> 11: <NA> <NA> <NA> <NA>
#> 12: <NA> <NA> <NA> <NA>
#> 13: <NA> <NA> <NA> <NA>
#> 14: <NA> <NA> <NA> <NA>
#> 15: <NA> <NA> <NA> <NA>
#> 16: <NA> <NA> <NA> <NA>
#> 17: <NA> <NA> <NA> <NA>
#> 18: <NA> <NA> <NA> <NA>
#> 19: <NA> <NA> <NA> <NA>
#> 20: <NA> <NA> <NA> <NA>
#> 21: <NA> <NA> <NA> <NA>
#> 22: <NA> <NA> <NA> <NA>
#> 23: <NA> <NA> <NA> <NA>
#> 24: <NA> <NA> <NA> <NA>
#> 25: <NA> <NA> <NA> <NA>
#> 26: <NA> <NA> <NA> <NA>
#> 27: <NA> <NA> <NA> <NA>
#> 28: <NA> <NA> <NA> <NA>
#> 29: <NA> <NA> <NA> <NA>
#> 30: <NA> <NA> <NA> <NA>
#> 31: <NA> <NA> <NA> <NA>
#> 32: <NA> <NA> <NA> <NA>
#> 33: <NA> <NA> <NA> <NA>
#> 34: <NA> <NA> <NA> <NA>
#> 35: <NA> <NA> <NA> <NA>
#> 36: <NA> <NA> <NA> <NA>
#> 37: <NA> <NA> <NA> <NA>
#> 38: <NA> <NA> <NA> <NA>
#> 39: <NA> <NA> <NA> <NA>
#> 40: <NA> <NA> <NA> <NA>
#> 41: <NA> <NA> <NA> <NA>
#> 42: <NA> <NA> <NA> <NA>
#> 43: <NA> <NA> <NA> <NA>
#> 44: <NA> <NA> <NA> <NA>
#> 45: <NA> <NA> <NA> <NA>
#> 46: <NA> <NA> <NA> <NA>
#> 47: <NA> <NA> <NA> <NA>
#> 48: <NA> <NA> <NA> <NA>
#> 49: <NA> <NA> <NA> <NA>
#> 50: <NA> <NA> <NA> <NA>
#> 51: <NA> <NA> <NA> <NA>
#> 52: <NA> <NA> <NA> <NA>
#> 53: <NA> <NA> <NA> <NA>
#> ConverrtedFilesName SourceFileFolder SourceFileNameR1 SourceFileNameR2
#> DNAnumber ReplicateNumber DNAextractionDate DNAngUsed LinearPCRID
#> 1: PT001-103 3 2016-03-16 23.1840 <NA>
#> 2: PT001-81 2 2016-07-15 181.4400 <NA>
#> 3: PT001-81 1 2016-07-15 181.4400 <NA>
#> 4: PT001-81 3 2016-07-15 181.4400 <NA>
#> 5: PT001-74 1 2016-07-15 23.0580 <NA>
#> 6: PT001-107 2 2016-03-16 171.3600 <NA>
#> 7: PT001-103 1 2016-03-16 23.1840 <NA>
#> 8: PT001-107 3 2016-03-16 171.3600 <NA>
#> 9: PT001-93 1 2016-02-16 23.8500 <NA>
#> 10: PT001-149 1 2017-01-13 45.1500 <NA>
#> 11: PT001-74 2 2016-07-15 23.0580 <NA>
#> 12: PT001-116 1 2016-04-15 89.2080 <NA>
#> 13: PT001-107 1 2016-03-16 171.3600 <NA>
#> 14: PT001-93 2 2016-02-16 23.8500 <NA>
#> 15: PT001-112 3 2016-04-15 26.5680 <NA>
#> 16: PT001-97 1 2016-02-16 300.0327 <NA>
#> 17: PT001-112 1 2016-04-15 26.5680 <NA>
#> 18: PT001-112 2 2016-04-15 26.5680 <NA>
#> 19: PT001-116 2 2016-04-15 89.2080 <NA>
#> 20: PT001-116 3 2016-04-15 89.2080 <NA>
#> 21: PT001-97 2 2016-02-16 300.0327 <NA>
#> 22: PT001-97 3 2016-02-16 300.0327 <NA>
#> 23: PT001-156 2 2017-01-13 42.0000 <NA>
#> 24: PT001-103 2 2016-03-16 23.1840 <NA>
#> 25: PT001-93 3 2016-02-16 23.8500 <NA>
#> 26: PT001-74 3 2016-07-15 23.0580 <NA>
#> 27: PT002-466 2 2017-05-24 299.3220 <NA>
#> 28: PT002-177 2 2016-07-11 181.5000 <NA>
#> 29: PT002-177 1 2016-07-11 181.5000 <NA>
#> 30: PT002-466 1 2017-05-24 299.3220 <NA>
#> 31: PT002-238 3 2016-12-09 196.5000 <NA>
#> 32: PT002-177 3 2016-07-11 181.5000 <NA>
#> 33: PT002-464 2 2017-05-24 300.4800 <NA>
#> 34: PT002-238 2 2016-12-09 196.5000 <NA>
#> 35: PT002-464 3 2017-05-24 300.4800 <NA>
#> 36: PT002-190 2 2016-08-10 77.4000 <NA>
#> 37: PT002-238 1 2016-12-09 196.5000 <NA>
#> 38: PT002-218 2 2016-09-09 135.1500 <NA>
#> 39: PT002-197 2 2016-08-10 172.5000 <NA>
#> 40: PT002-197 1 2016-08-10 172.5000 <NA>
#> 41: PT002-231 1 2016-12-14 122.5500 <NA>
#> 42: PT002-197 3 2016-08-10 172.5000 <NA>
#> 43: PT002-464 1 2017-05-24 300.4800 <NA>
#> 44: PT002-466 3 2017-05-24 299.3220 <NA>
#> 45: PT002-218 3 2016-09-09 135.1500 <NA>
#> 46: PT002-211 3 2016-09-09 123.0000 <NA>
#> 47: PT002-231 3 2016-12-14 122.5500 <NA>
#> 48: PT002-218 1 2016-09-09 135.1500 <NA>
#> 49: PT002-170 3 2016-07-12 106.3500 <NA>
#> 50: PT002-211 1 2016-09-09 123.0000 <NA>
#> 51: PT002-231 2 2016-12-14 122.5500 <NA>
#> 52: PT002-211 2 2016-09-09 123.0000 <NA>
#> 53: PT002-170 2 2016-07-12 106.3500 <NA>
#> DNAnumber ReplicateNumber DNAextractionDate DNAngUsed LinearPCRID
#> LinearPCRDate SonicationDate LigationDate 1stExpoPCRID 1stExpoPCRDate
#> 1: <NA> 2016-11-02 2016-11-02 ET#380.46 2016-11-02
#> 2: <NA> 2016-11-02 2016-11-02 ET#379.40 2016-11-02
#> 3: <NA> 2016-11-02 2016-11-02 ET#379.9 2016-11-02
#> 4: <NA> 2016-11-02 2016-11-02 ET#379.71 2016-11-02
#> 5: <NA> 2016-11-02 2016-11-02 ET#379.2 2016-11-02
#> 6: <NA> 2016-11-02 2016-11-02 ET#380.28 2016-11-02
#> 7: <NA> 2016-11-02 2016-11-02 ET#380.2 2016-11-02
#> 8: <NA> 2016-11-02 2016-11-02 ET#380.50 2016-11-02
#> 9: <NA> 2016-11-02 2016-11-02 ET#379.21 2016-11-02
#> 10: <NA> 2017-04-19 2017-04-19 ET#405.28 2017-04-20
#> 11: <NA> 2016-11-02 2016-11-02 ET#379.33 2016-11-02
#> 12: <NA> 2016-11-02 2016-11-02 ET#380.15 2016-11-02
#> 13: <NA> 2016-11-02 2016-11-02 ET#380.6 2016-11-02
#> 14: <NA> 2016-11-02 2016-11-02 ET#379.52 2016-11-02
#> 15: <NA> 2016-11-02 2016-11-02 ET#380.55 2016-11-02
#> 16: <NA> 2016-11-02 2016-11-02 ET#379.25 2016-11-02
#> 17: <NA> 2016-11-02 2016-11-02 ET#380.11 2016-11-02
#> 18: <NA> 2016-11-02 2016-11-02 ET#380.33 2016-11-02
#> 19: <NA> 2016-11-02 2016-11-02 ET#380.37 2016-11-02
#> 20: <NA> 2016-11-02 2016-11-02 ET#380.59 2016-11-02
#> 21: <NA> 2016-11-02 2016-11-02 ET#379.56 2016-11-02
#> 22: <NA> 2016-11-02 2016-11-02 ET#379.87 2016-11-02
#> 23: <NA> 2017-04-19 2017-04-19 ET#406.37 2017-04-20
#> 24: <NA> 2016-11-02 2016-11-02 ET#380.24 2016-11-02
#> 25: <NA> 2016-11-02 2016-11-02 ET#379.83 2016-11-02
#> 26: <NA> 2016-11-02 2016-11-02 ET#379.64 2016-11-02
#> 27: <NA> 2018-03-12 2018-03-12 FB584.26 2018-03-12
#> 28: <NA> 2017-04-19 2017-04-19 ET#406.58 2017-04-20
#> 29: <NA> 2017-04-19 2017-04-19 ET#406.27 2017-04-20
#> 30: <NA> 2018-03-12 2018-03-12 FB584.4 2018-03-12
#> 31: <NA> 2017-05-12 2017-05-12 ET#413.31 2017-05-12
#> 32: <NA> 2017-04-19 2017-04-19 ET#406.89 2017-04-20
#> 33: <NA> 2018-03-12 2018-03-12 FB584.24 2018-03-12
#> 34: <NA> 2017-05-12 2017-05-12 ET#413.16 2017-05-12
#> 35: <NA> 2018-03-12 2018-03-12 FB584.46 2018-03-12
#> 36: <NA> 2017-05-03 2017-05-03 ET#409.42 2017-05-04
#> 37: <NA> 2017-05-12 2017-05-12 ET#413.1 2017-05-12
#> 38: <NA> 2017-05-03 2017-05-03 ET#410.41 2017-05-04
#> 39: <NA> 2017-05-03 2017-05-03 ET#409.49 2017-05-04
#> 40: <NA> 2017-05-03 2017-05-03 ET#409.18 2017-05-04
#> 41: <NA> 2017-05-03 2017-05-03 ET#410.23 2017-05-04
#> 42: <NA> 2017-05-03 2017-05-03 ET#409.80 2017-05-04
#> 43: <NA> 2018-03-12 2018-03-12 FB584.2 2018-03-12
#> 44: <NA> 2018-03-12 2018-03-12 FB584.48 2018-03-12
#> 45: <NA> 2017-05-03 2017-05-03 ET#410.72 2017-05-04
#> 46: <NA> 2017-05-03 2017-05-03 ET#410.65 2017-05-04
#> 47: <NA> 2017-05-03 2017-05-03 ET#410.85 2017-05-04
#> 48: <NA> 2017-05-03 2017-05-03 ET#410.10 2017-05-04
#> 49: <NA> 2017-04-19 2017-04-19 ET#406.82 2017-04-20
#> 50: <NA> 2017-05-03 2017-05-03 ET#410.3 2017-05-04
#> 51: <NA> 2017-05-03 2017-05-03 ET#410.54 2017-05-04
#> 52: <NA> 2017-05-03 2017-05-03 ET#410.34 2017-05-04
#> 53: <NA> 2017-04-19 2017-04-19 ET#406.51 2017-04-20
#> LinearPCRDate SonicationDate LigationDate 1stExpoPCRID 1stExpoPCRDate
#> 2ndExpoID 2ndExpoDate FusionPrimerPCRID FusionPrimerPCRDate PoolDate
#> 1: <NA> <NA> ET#382.46 2016-11-03 2016-11-07
#> 2: <NA> <NA> ET#381.40 2016-11-03 2016-11-07
#> 3: <NA> <NA> ET#381.9 2016-11-03 2016-11-07
#> 4: <NA> <NA> ET#381.71 2016-11-03 2016-11-07
#> 5: <NA> <NA> ET#381.2 2016-11-03 2016-11-07
#> 6: <NA> <NA> ET#382.28 2016-11-03 2016-11-07
#> 7: <NA> <NA> ET#382.2 2016-11-03 2016-11-07
#> 8: <NA> <NA> ET#382.50 2016-11-03 2016-11-07
#> 9: <NA> <NA> ET#381.21 2016-11-03 2016-11-07
#> 10: <NA> <NA> ET#407.28 2017-04-21 2017-04-27
#> 11: <NA> <NA> ET#381.33 2016-11-03 2016-11-07
#> 12: <NA> <NA> ET#382.15 2016-11-03 2016-11-07
#> 13: <NA> <NA> ET#382.6 2016-11-03 2016-11-07
#> 14: <NA> <NA> ET#381.52 2016-11-03 2016-11-07
#> 15: <NA> <NA> ET#382.55 2016-11-03 2016-11-07
#> 16: <NA> <NA> ET#381.25 2016-11-03 2016-11-07
#> 17: <NA> <NA> ET#382.11 2016-11-03 2016-11-07
#> 18: <NA> <NA> ET#382.33 2016-11-03 2016-11-07
#> 19: <NA> <NA> ET#382.37 2016-11-03 2016-11-07
#> 20: <NA> <NA> ET#382.59 2016-11-03 2016-11-07
#> 21: <NA> <NA> ET#381.56 2016-11-03 2016-11-07
#> 22: <NA> <NA> ET#381.87 2016-11-03 2016-11-07
#> 23: <NA> <NA> ET#408.37 2017-04-21 2017-04-27
#> 24: <NA> <NA> ET#382.24 2016-11-03 2016-11-07
#> 25: <NA> <NA> ET#381.83 2016-11-03 2016-11-07
#> 26: <NA> <NA> ET#381.64 2016-11-03 2016-11-07
#> 27: <NA> <NA> FB585.26 2018-03-12 2018-03-13
#> 28: <NA> <NA> ET#408.58 2017-04-21 2017-05-17
#> 29: <NA> <NA> ET#408.27 2017-04-21 2017-05-17
#> 30: <NA> <NA> FB585.4 2018-03-12 2018-03-13
#> 31: <NA> <NA> ET#414.31 2017-05-16 2017-05-17
#> 32: <NA> <NA> ET#408.89 2017-04-21 2017-05-17
#> 33: <NA> <NA> FB585.24 2018-03-12 2018-03-13
#> 34: <NA> <NA> ET#414.16 2017-05-16 2017-05-17
#> 35: <NA> <NA> FB585.46 2018-03-12 2018-03-13
#> 36: <NA> <NA> ET#411.42 2017-05-05 2017-05-17
#> 37: <NA> <NA> ET#414.1 2017-05-16 2017-05-17
#> 38: <NA> <NA> ET#412.41 2017-05-05 2017-05-17
#> 39: <NA> <NA> ET#411.49 2017-05-05 2017-05-17
#> 40: <NA> <NA> ET#411.18 2017-05-05 2017-05-17
#> 41: <NA> <NA> ET#412.23 2017-05-05 2017-05-17
#> 42: <NA> <NA> ET#411.80 2017-05-05 2017-05-17
#> 43: <NA> <NA> FB585.2 2018-03-12 2018-03-13
#> 44: <NA> <NA> FB585.48 2018-03-12 2018-03-13
#> 45: <NA> <NA> ET#412.72 2017-05-05 2017-05-17
#> 46: <NA> <NA> ET#412.65 2017-05-05 2017-05-17
#> 47: <NA> <NA> ET#412.85 2017-05-05 2017-05-17
#> 48: <NA> <NA> ET#412.10 2017-05-05 2017-05-17
#> 49: <NA> <NA> ET#408.82 2017-04-21 2017-05-17
#> 50: <NA> <NA> ET#412.3 2017-05-05 2017-05-17
#> 51: <NA> <NA> ET#412.54 2017-05-05 2017-05-17
#> 52: <NA> <NA> ET#412.34 2017-05-05 2017-05-17
#> 53: <NA> <NA> ET#408.51 2017-04-21 2017-05-17
#> 2ndExpoID 2ndExpoDate FusionPrimerPCRID FusionPrimerPCRDate PoolDate
#> SequencingDate VCN Genome SequencingRound Genotype TestGroup MOI
#> 1: 2016-11-15 0.30 hg19 1 <NA> <NA> <NA>
#> 2: 2016-11-15 0.27 hg19 1 <NA> <NA> <NA>
#> 3: 2016-11-15 0.27 hg19 1 <NA> <NA> <NA>
#> 4: 2016-11-15 0.27 hg19 1 <NA> <NA> <NA>
#> 5: 2016-11-15 0.24 hg19 1 <NA> <NA> <NA>
#> 6: 2016-11-15 0.42 hg19 1 <NA> <NA> <NA>
#> 7: 2016-11-15 0.30 hg19 1 <NA> <NA> <NA>
#> 8: 2016-11-15 0.42 hg19 1 <NA> <NA> <NA>
#> 9: 2016-11-15 0.23 hg19 1 <NA> <NA> <NA>
#> 10: 2017-06-23 0.19 hg19 1 <NA> <NA> <NA>
#> 11: 2016-11-15 0.24 hg19 1 <NA> <NA> <NA>
#> 12: 2016-11-15 0.35 hg19 1 <NA> <NA> <NA>
#> 13: 2016-11-15 0.42 hg19 1 <NA> <NA> <NA>
#> 14: 2016-11-15 0.23 hg19 1 <NA> <NA> <NA>
#> 15: 2016-11-15 0.26 hg19 1 <NA> <NA> <NA>
#> 16: 2016-11-15 0.26 hg19 1 <NA> <NA> <NA>
#> 17: 2016-11-15 0.26 hg19 1 <NA> <NA> <NA>
#> 18: 2016-11-15 0.26 hg19 1 <NA> <NA> <NA>
#> 19: 2016-11-15 0.35 hg19 1 <NA> <NA> <NA>
#> 20: 2016-11-15 0.35 hg19 1 <NA> <NA> <NA>
#> 21: 2016-11-15 0.26 hg19 1 <NA> <NA> <NA>
#> 22: 2016-11-15 0.26 hg19 1 <NA> <NA> <NA>
#> 23: 2017-06-23 0.18 hg19 1 <NA> <NA> <NA>
#> 24: 2016-11-15 0.30 hg19 1 <NA> <NA> <NA>
#> 25: 2016-11-15 0.23 hg19 1 <NA> <NA> <NA>
#> 26: 2016-11-15 0.24 hg19 1 <NA> <NA> <NA>
#> 27: 2018-03-15 2.52 hg19 1 <NA> <NA> <NA>
#> 28: 2017-06-23 1.01 hg19 1 <NA> <NA> <NA>
#> 29: 2017-06-23 1.01 hg19 1 <NA> <NA> <NA>
#> 30: 2018-03-15 2.52 hg19 1 <NA> <NA> <NA>
#> 31: 2017-06-23 2.30 hg19 1 <NA> <NA> <NA>
#> 32: 2017-06-23 1.01 hg19 1 <NA> <NA> <NA>
#> 33: 2018-03-15 2.07 hg19 1 <NA> <NA> <NA>
#> 34: 2017-06-23 2.30 hg19 1 <NA> <NA> <NA>
#> 35: 2018-03-15 2.07 hg19 1 <NA> <NA> <NA>
#> 36: 2017-06-23 1.07 hg19 1 <NA> <NA> <NA>
#> 37: 2017-06-23 2.30 hg19 1 <NA> <NA> <NA>
#> 38: 2017-06-23 2.05 hg19 1 <NA> <NA> <NA>
#> 39: 2017-06-23 1.24 hg19 1 <NA> <NA> <NA>
#> 40: 2017-06-23 1.24 hg19 1 <NA> <NA> <NA>
#> 41: 2017-06-23 1.43 hg19 1 <NA> <NA> <NA>
#> 42: 2017-06-23 1.24 hg19 1 <NA> <NA> <NA>
#> 43: 2018-03-15 2.07 hg19 1 <NA> <NA> <NA>
#> 44: 2018-03-15 2.52 hg19 1 <NA> <NA> <NA>
#> 45: 2017-06-23 2.05 hg19 1 <NA> <NA> <NA>
#> 46: 2017-06-23 1.09 hg19 1 <NA> <NA> <NA>
#> 47: 2017-06-23 1.43 hg19 1 <NA> <NA> <NA>
#> 48: 2017-06-23 2.05 hg19 1 <NA> <NA> <NA>
#> 49: 2017-06-23 0.77 hg19 1 <NA> <NA> <NA>
#> 50: 2017-06-23 1.09 hg19 1 <NA> <NA> <NA>
#> 51: 2017-06-23 1.43 hg19 1 <NA> <NA> <NA>
#> 52: 2017-06-23 1.09 hg19 1 <NA> <NA> <NA>
#> 53: 2017-06-23 0.77 hg19 1 <NA> <NA> <NA>
#> SequencingDate VCN Genome SequencingRound Genotype TestGroup MOI
#> Engraftment Transduction Notes AddedField1 AddedField2 AddedField3
#> 1: NA NA <NA> <NA> <NA> <NA>
#> 2: NA NA <NA> <NA> <NA> <NA>
#> 3: NA NA <NA> <NA> <NA> <NA>
#> 4: NA NA <NA> <NA> <NA> <NA>
#> 5: NA NA <NA> <NA> <NA> <NA>
#> 6: NA NA <NA> <NA> <NA> <NA>
#> 7: NA NA <NA> <NA> <NA> <NA>
#> 8: NA NA <NA> <NA> <NA> <NA>
#> 9: NA NA <NA> <NA> <NA> <NA>
#> 10: NA NA <NA> <NA> <NA> <NA>
#> 11: NA NA <NA> <NA> <NA> <NA>
#> 12: NA NA <NA> <NA> <NA> <NA>
#> 13: NA NA <NA> <NA> <NA> <NA>
#> 14: NA NA <NA> <NA> <NA> <NA>
#> 15: NA NA <NA> <NA> <NA> <NA>
#> 16: NA NA <NA> <NA> <NA> <NA>
#> 17: NA NA <NA> <NA> <NA> <NA>
#> 18: NA NA <NA> <NA> <NA> <NA>
#> 19: NA NA <NA> <NA> <NA> <NA>
#> 20: NA NA <NA> <NA> <NA> <NA>
#> 21: NA NA <NA> <NA> <NA> <NA>
#> 22: NA NA <NA> <NA> <NA> <NA>
#> 23: NA NA <NA> <NA> <NA> <NA>
#> 24: NA NA <NA> <NA> <NA> <NA>
#> 25: NA NA <NA> <NA> <NA> <NA>
#> 26: NA NA <NA> <NA> <NA> <NA>
#> 27: NA NA <NA> <NA> <NA> <NA>
#> 28: NA NA <NA> <NA> <NA> <NA>
#> 29: NA NA <NA> <NA> <NA> <NA>
#> 30: NA NA <NA> <NA> <NA> <NA>
#> 31: NA NA <NA> <NA> <NA> <NA>
#> 32: NA NA <NA> <NA> <NA> <NA>
#> 33: NA NA <NA> <NA> <NA> <NA>
#> 34: NA NA <NA> <NA> <NA> <NA>
#> 35: NA NA <NA> <NA> <NA> <NA>
#> 36: NA NA <NA> <NA> <NA> <NA>
#> 37: NA NA <NA> <NA> <NA> <NA>
#> 38: NA NA <NA> <NA> <NA> <NA>
#> 39: NA NA <NA> <NA> <NA> <NA>
#> 40: NA NA <NA> <NA> <NA> <NA>
#> 41: NA NA <NA> <NA> <NA> <NA>
#> 42: NA NA <NA> <NA> <NA> <NA>
#> 43: NA NA <NA> <NA> <NA> <NA>
#> 44: NA NA <NA> <NA> <NA> <NA>
#> 45: NA NA <NA> <NA> <NA> <NA>
#> 46: NA NA <NA> <NA> <NA> <NA>
#> 47: NA NA <NA> <NA> <NA> <NA>
#> 48: NA NA <NA> <NA> <NA> <NA>
#> 49: NA NA <NA> <NA> <NA> <NA>
#> 50: NA NA <NA> <NA> <NA> <NA>
#> 51: NA NA <NA> <NA> <NA> <NA>
#> 52: NA NA <NA> <NA> <NA> <NA>
#> 53: NA NA <NA> <NA> <NA> <NA>
#> Engraftment Transduction Notes AddedField1 AddedField2 AddedField3
#> AddedField4 concatenatePoolIDSeqRun AddedField6_RelativeBloodPercentage
#> 1: <NA> POOL01-1 <NA>
#> 2: <NA> POOL01-1 <NA>
#> 3: <NA> POOL01-1 <NA>
#> 4: <NA> POOL01-1 <NA>
#> 5: <NA> POOL01-1 <NA>
#> 6: <NA> POOL01-1 <NA>
#> 7: <NA> POOL01-1 <NA>
#> 8: <NA> POOL01-1 <NA>
#> 9: <NA> POOL01-1 <NA>
#> 10: <NA> POOL02-1 <NA>
#> 11: <NA> POOL01-1 <NA>
#> 12: <NA> POOL01-1 <NA>
#> 13: <NA> POOL01-1 <NA>
#> 14: <NA> POOL01-1 <NA>
#> 15: <NA> POOL01-1 <NA>
#> 16: <NA> POOL01-1 <NA>
#> 17: <NA> POOL01-1 <NA>
#> 18: <NA> POOL01-1 <NA>
#> 19: <NA> POOL01-1 <NA>
#> 20: <NA> POOL01-1 <NA>
#> 21: <NA> POOL01-1 <NA>
#> 22: <NA> POOL01-1 <NA>
#> 23: <NA> POOL02-1 <NA>
#> 24: <NA> POOL01-1 <NA>
#> 25: <NA> POOL01-1 <NA>
#> 26: <NA> POOL01-1 <NA>
#> 27: <NA> POOL03-1 <NA>
#> 28: <NA> POOL04-1 <NA>
#> 29: <NA> POOL04-1 <NA>
#> 30: <NA> POOL03-1 <NA>
#> 31: <NA> POOL04-1 <NA>
#> 32: <NA> POOL04-1 <NA>
#> 33: <NA> POOL03-1 <NA>
#> 34: <NA> POOL04-1 <NA>
#> 35: <NA> POOL03-1 <NA>
#> 36: <NA> POOL04-1 <NA>
#> 37: <NA> POOL04-1 <NA>
#> 38: <NA> POOL04-1 <NA>
#> 39: <NA> POOL04-1 <NA>
#> 40: <NA> POOL04-1 <NA>
#> 41: <NA> POOL04-1 <NA>
#> 42: <NA> POOL04-1 <NA>
#> 43: <NA> POOL03-1 <NA>
#> 44: <NA> POOL03-1 <NA>
#> 45: <NA> POOL04-1 <NA>
#> 46: <NA> POOL04-1 <NA>
#> 47: <NA> POOL04-1 <NA>
#> 48: <NA> POOL04-1 <NA>
#> 49: <NA> POOL04-1 <NA>
#> 50: <NA> POOL04-1 <NA>
#> 51: <NA> POOL04-1 <NA>
#> 52: <NA> POOL04-1 <NA>
#> 53: <NA> POOL04-1 <NA>
#> AddedField4 concatenatePoolIDSeqRun AddedField6_RelativeBloodPercentage
#> AddedField7_PurityTestFeasibility AddedField8_FacsSeparationPurity
#> 1: NA NA
#> 2: NA NA
#> 3: NA NA
#> 4: NA NA
#> 5: NA NA
#> 6: NA NA
#> 7: NA NA
#> 8: NA NA
#> 9: NA NA
#> 10: NA NA
#> 11: NA NA
#> 12: NA NA
#> 13: NA NA
#> 14: NA NA
#> 15: NA NA
#> 16: NA NA
#> 17: NA NA
#> 18: NA NA
#> 19: NA NA
#> 20: NA NA
#> 21: NA NA
#> 22: NA NA
#> 23: NA NA
#> 24: NA NA
#> 25: NA NA
#> 26: NA NA
#> 27: NA NA
#> 28: NA NA
#> 29: NA NA
#> 30: NA NA
#> 31: NA NA
#> 32: NA NA
#> 33: NA NA
#> 34: NA NA
#> 35: NA NA
#> 36: NA NA
#> 37: NA NA
#> 38: NA NA
#> 39: NA NA
#> 40: NA NA
#> 41: NA NA
#> 42: NA NA
#> 43: NA NA
#> 44: NA NA
#> 45: NA NA
#> 46: NA NA
#> 47: NA NA
#> 48: NA NA
#> 49: NA NA
#> 50: NA NA
#> 51: NA NA
#> 52: NA NA
#> 53: NA NA
#> AddedField7_PurityTestFeasibility AddedField8_FacsSeparationPurity
#> Kapa ulForPool
#> 1: NA NA
#> 2: NA NA
#> 3: NA NA
#> 4: NA NA
#> 5: NA NA
#> 6: NA NA
#> 7: NA NA
#> 8: NA NA
#> 9: NA NA
#> 10: NA NA
#> 11: NA NA
#> 12: NA NA
#> 13: NA NA
#> 14: NA NA
#> 15: NA NA
#> 16: NA NA
#> 17: NA NA
#> 18: NA NA
#> 19: NA NA
#> 20: NA NA
#> 21: NA NA
#> 22: NA NA
#> 23: NA NA
#> 24: NA NA
#> 25: NA NA
#> 26: NA NA
#> 27: 57.128501 1.000000
#> 28: NA NA
#> 29: NA NA
#> 30: 41.796937 1.000000
#> 31: NA NA
#> 32: NA NA
#> 33: 9.813033 1.528579
#> 34: NA NA
#> 35: 52.331328 1.000000
#> 36: NA NA
#> 37: NA NA
#> 38: NA NA
#> 39: NA NA
#> 40: NA NA
#> 41: NA NA
#> 42: NA NA
#> 43: 3.820188 3.926508
#> 44: 16.312071 1.000000
#> 45: NA NA
#> 46: NA NA
#> 47: NA NA
#> 48: NA NA
#> 49: NA NA
#> 50: NA NA
#> 51: NA NA
#> 52: NA NA
#> 53: NA NA
#> Kapa ulForPool
#> CompleteAmplificationID
#> 1: PJ01_POOL01_LTR75LC38_PT001_PT001-103_lenti_GLOBE_PB_1_SLiM_0060_MNC
#> 2: PJ01_POOL01_LTR53LC32_PT001_PT001-81_lenti_GLOBE_BM_1_SLiM_0180_MNC
#> 3: PJ01_POOL01_LTR83LC66_PT001_PT001-81_lenti_GLOBE_BM_1_SLiM_0180_MNC
#> 4: PJ01_POOL01_LTR27LC94_PT001_PT001-81_lenti_GLOBE_BM_1_SLiM_0180_MNC
#> 5: PJ01_POOL01_LTR69LC52_PT001_PT001-74_lenti_GLOBE_PB_1_SLiM_0180_MNC
#> 6: PJ01_POOL01_LTR37LC2_PT001_PT001-107_lenti_GLOBE_BM_1_SLiM_0060_MNC
#> 7: PJ01_POOL01_LTR77LC46_PT001_PT001-103_lenti_GLOBE_PB_1_SLiM_0060_MNC
#> 8: PJ01_POOL01_LTR83LC46_PT001_PT001-107_lenti_GLOBE_BM_1_SLiM_0060_MNC
#> 9: PJ01_POOL01_LTR9LC90_PT001_PT001-93_lenti_GLOBE_PB_1_SLiM_0030_MNC
#> 10: PJ01_POOL02_LTR65LC56_PT001_PT001-149_lenti_GLOBE_PB_1_SLiM_0360_MNC
#> 11: PJ01_POOL01_LTR37LC18_PT001_PT001-74_lenti_GLOBE_PB_1_SLiM_0180_MNC
#> 12: PJ01_POOL01_LTR7LC72_PT001_PT001-116_lenti_GLOBE_BM_1_SLiM_0090_MNC
#> 13: PJ01_POOL01_LTR85LC54_PT001_PT001-107_lenti_GLOBE_BM_1_SLiM_0060_MNC
#> 14: PJ01_POOL01_LTR77LC56_PT001_PT001-93_lenti_GLOBE_PB_1_SLiM_0030_MNC
#> 15: PJ01_POOL01_LTR93LC56_PT001_PT001-112_lenti_GLOBE_PB_1_SLiM_0090_MNC
#> 16: PJ01_POOL01_LTR19LC2_PT001_PT001-97_lenti_GLOBE_BM_1_SLiM_0030_MNC
#> 17: PJ01_POOL01_LTR95LC64_PT001_PT001-112_lenti_GLOBE_PB_1_SLiM_0090_MNC
#> 18: PJ01_POOL01_LTR49LC12_PT001_PT001-112_lenti_GLOBE_PB_1_SLiM_0090_MNC
#> 19: PJ01_POOL01_LTR57LC20_PT001_PT001-116_lenti_GLOBE_BM_1_SLiM_0090_MNC
#> 20: PJ01_POOL01_LTR5LC64_PT001_PT001-116_lenti_GLOBE_BM_1_SLiM_0090_MNC
#> 21: PJ01_POOL01_LTR85LC64_PT001_PT001-97_lenti_GLOBE_BM_1_SLiM_0030_MNC
#> 22: PJ01_POOL01_LTR61LC30_PT001_PT001-97_lenti_GLOBE_BM_1_SLiM_0030_MNC
#> 23: PJ01_POOL02_LTR87LC74_PT001_PT001-156_lenti_GLOBE_BM_1_SLiM_0360_MNC
#> 24: PJ01_POOL01_LTR29LC90_PT001_PT001-103_lenti_GLOBE_PB_1_SLiM_0060_MNC
#> 25: PJ01_POOL01_LTR53LC22_PT001_PT001-93_lenti_GLOBE_PB_1_SLiM_0030_MNC
#> 26: PJ01_POOL01_LTR9LC80_PT001_PT001-74_lenti_GLOBE_PB_1_SLiM_0180_MNC
#> 27: PJ01_POOL03_LTR73LC86_PT002_PT002-466_lenti_GLOBE_BM_1_SLiM_0360_MNC
#> 28: PJ01_POOL04_LTR41LC20_PT002_PT002-177_lenti_GLOBE_BM_1_SLiM_0030_MNC
#> 29: PJ01_POOL04_LTR65LC54_PT002_PT002-177_lenti_GLOBE_BM_1_SLiM_0030_MNC
#> 30: PJ01_POOL03_LTR51LC86_PT002_PT002-466_lenti_GLOBE_BM_1_SLiM_0360_MNC
#> 31: PJ01_POOL04_LTR85LC62_PT002_PT002-238_lenti_GLOBE_BM_1_SLiM_0180_MNC
#> 32: PJ01_POOL04_LTR11LC82_PT002_PT002-177_lenti_GLOBE_BM_1_SLiM_0030_MNC
#> 33: PJ01_POOL03_LTR71LC90_PT002_PT002-464_lenti_GLOBE_PB_1_SLiM_0360_MNC
#> 34: PJ01_POOL04_LTR51LC32_PT002_PT002-238_lenti_GLOBE_BM_1_SLiM_0180_MNC
#> 35: PJ01_POOL03_LTR93LC90_PT002_PT002-464_lenti_GLOBE_PB_1_SLiM_0360_MNC
#> 36: PJ01_POOL04_LTR5LC84_PT002_PT002-190_lenti_GLOBE_PB_1_SLiM_0060_MNC
#> 37: PJ01_POOL04_LTR13LC2_PT002_PT002-238_lenti_GLOBE_BM_1_SLiM_0180_MNC
#> 38: PJ01_POOL04_LTR5LC82_PT002_PT002-218_lenti_GLOBE_BM_1_SLiM_0090_MNC
#> 39: PJ01_POOL04_LTR25LC2_PT002_PT002-197_lenti_GLOBE_BM_1_SLiM_0060_MNC
#> 40: PJ01_POOL04_LTR49LC36_PT002_PT002-197_lenti_GLOBE_BM_1_SLiM_0060_MNC
#> 41: PJ01_POOL04_LTR63LC46_PT002_PT002-231_lenti_GLOBE_PB_1_SLiM_0180_MNC
#> 42: PJ01_POOL04_LTR93LC64_PT002_PT002-197_lenti_GLOBE_BM_1_SLiM_0060_MNC
#> 43: PJ01_POOL03_LTR49LC90_PT002_PT002-464_lenti_GLOBE_PB_1_SLiM_0360_MNC
#> 44: PJ01_POOL03_LTR95LC86_PT002_PT002-466_lenti_GLOBE_BM_1_SLiM_0360_MNC
#> 45: PJ01_POOL04_LTR79LC48_PT002_PT002-218_lenti_GLOBE_BM_1_SLiM_0090_MNC
#> 46: PJ01_POOL04_LTR63LC34_PT002_PT002-211_lenti_GLOBE_PB_1_SLiM_0090_MNC
#> 47: PJ01_POOL04_LTR9LC74_PT002_PT002-231_lenti_GLOBE_PB_1_SLiM_0180_MNC
#> 48: PJ01_POOL04_LTR33LC20_PT002_PT002-218_lenti_GLOBE_BM_1_SLiM_0090_MNC
#> 49: PJ01_POOL04_LTR93LC68_PT002_PT002-170_lenti_GLOBE_PB_1_SLiM_0030_MNC
#> 50: PJ01_POOL04_LTR13LC6_PT002_PT002-211_lenti_GLOBE_PB_1_SLiM_0090_MNC
#> 51: PJ01_POOL04_LTR37LC12_PT002_PT002-231_lenti_GLOBE_PB_1_SLiM_0180_MNC
#> 52: PJ01_POOL04_LTR87LC68_PT002_PT002-211_lenti_GLOBE_PB_1_SLiM_0090_MNC
#> 53: PJ01_POOL04_LTR25LC6_PT002_PT002-170_lenti_GLOBE_PB_1_SLiM_0030_MNC
#> CompleteAmplificationID
#> UniqueID StudyTestID StudyTestGroup MouseID Tigroup Tisource
#> 1: ID00000000000000007433 <NA> NA NA <NA> <NA>
#> 2: ID00000000000000007340 <NA> NA NA <NA> <NA>
#> 3: ID00000000000000007310 <NA> NA NA <NA> <NA>
#> 4: ID00000000000000007370 <NA> NA NA <NA> <NA>
#> 5: ID00000000000000007303 <NA> NA NA <NA> <NA>
#> 6: ID00000000000000007417 <NA> NA NA <NA> <NA>
#> 7: ID00000000000000007393 <NA> NA NA <NA> <NA>
#> 8: ID00000000000000007437 <NA> NA NA <NA> <NA>
#> 9: ID00000000000000007322 <NA> NA NA <NA> <NA>
#> 10: ID00000000000000009697 <NA> NA NA <NA> <NA>
#> 11: ID00000000000000007333 <NA> NA NA <NA> <NA>
#> 12: ID00000000000000007406 <NA> NA NA <NA> <NA>
#> 13: ID00000000000000007397 <NA> NA NA <NA> <NA>
#> 14: ID00000000000000007352 <NA> NA NA <NA> <NA>
#> 15: ID00000000000000007442 <NA> NA NA <NA> <NA>
#> 16: ID00000000000000007326 <NA> NA NA <NA> <NA>
#> 17: ID00000000000000007402 <NA> NA NA <NA> <NA>
#> 18: ID00000000000000007422 <NA> NA NA <NA> <NA>
#> 19: ID00000000000000007426 <NA> NA NA <NA> <NA>
#> 20: ID00000000000000007446 <NA> NA NA <NA> <NA>
#> 21: ID00000000000000007356 <NA> NA NA <NA> <NA>
#> 22: ID00000000000000007386 <NA> NA NA <NA> <NA>
#> 23: ID00000000000000009748 <NA> NA NA <NA> <NA>
#> 24: ID00000000000000007413 <NA> NA NA <NA> <NA>
#> 25: ID00000000000000007382 <NA> NA NA <NA> <NA>
#> 26: ID00000000000000007363 <NA> NA NA <NA> <NA>
#> 27: ID00000000000000013890 <NA> NA NA <NA> <NA>
#> 28: ID00000000000000009785 <NA> NA NA <NA> <NA>
#> 29: ID00000000000000009775 <NA> NA NA <NA> <NA>
#> 30: ID00000000000000013868 <NA> NA NA <NA> <NA>
#> 31: ID00000000000000009953 <NA> NA NA <NA> <NA>
#> 32: ID00000000000000009793 <NA> NA NA <NA> <NA>
#> 33: ID00000000000000013888 <NA> NA NA <NA> <NA>
#> 34: ID00000000000000009942 <NA> NA NA <NA> <NA>
#> 35: ID00000000000000013910 <NA> NA NA <NA> <NA>
#> 36: ID00000000000000009826 <NA> NA NA <NA> <NA>
#> 37: ID00000000000000009934 <NA> NA NA <NA> <NA>
#> 38: ID00000000000000009890 <NA> NA NA <NA> <NA>
#> 39: ID00000000000000009833 <NA> NA NA <NA> <NA>
#> 40: ID00000000000000009807 <NA> NA NA <NA> <NA>
#> 41: ID00000000000000009875 <NA> NA NA <NA> <NA>
#> 42: ID00000000000000009850 <NA> NA NA <NA> <NA>
#> 43: ID00000000000000013866 <NA> NA NA <NA> <NA>
#> 44: ID00000000000000013912 <NA> NA NA <NA> <NA>
#> 45: ID00000000000000009917 <NA> NA NA <NA> <NA>
#> 46: ID00000000000000009910 <NA> NA NA <NA> <NA>
#> 47: ID00000000000000009928 <NA> NA NA <NA> <NA>
#> 48: ID00000000000000009866 <NA> NA NA <NA> <NA>
#> 49: ID00000000000000009789 <NA> NA NA <NA> <NA>
#> 50: ID00000000000000009859 <NA> NA NA <NA> <NA>
#> 51: ID00000000000000009903 <NA> NA NA <NA> <NA>
#> 52: ID00000000000000009884 <NA> NA NA <NA> <NA>
#> 53: ID00000000000000009780 <NA> NA NA <NA> <NA>
#> UniqueID StudyTestID StudyTestGroup MouseID Tigroup Tisource
#> PathToFolderProjectID SamplesNameCheck TimepointDays TimepointMonths
#> 1: /PJ01 <NA> 0060 02
#> 2: /PJ01 <NA> 0180 06
#> 3: /PJ01 <NA> 0180 06
#> 4: /PJ01 <NA> 0180 06
#> 5: /PJ01 <NA> 0180 06
#> 6: /PJ01 <NA> 0060 02
#> 7: /PJ01 <NA> 0060 02
#> 8: /PJ01 <NA> 0060 02
#> 9: /PJ01 <NA> 0030 01
#> 10: /PJ01 <NA> 0360 12
#> 11: /PJ01 <NA> 0180 06
#> 12: /PJ01 <NA> 0090 03
#> 13: /PJ01 <NA> 0060 02
#> 14: /PJ01 <NA> 0030 01
#> 15: /PJ01 <NA> 0090 03
#> 16: /PJ01 <NA> 0030 01
#> 17: /PJ01 <NA> 0090 03
#> 18: /PJ01 <NA> 0090 03
#> 19: /PJ01 <NA> 0090 03
#> 20: /PJ01 <NA> 0090 03
#> 21: /PJ01 <NA> 0030 01
#> 22: /PJ01 <NA> 0030 01
#> 23: /PJ01 <NA> 0360 12
#> 24: /PJ01 <NA> 0060 02
#> 25: /PJ01 <NA> 0030 01
#> 26: /PJ01 <NA> 0180 06
#> 27: /PJ01 <NA> 0360 12
#> 28: /PJ01 <NA> 0030 01
#> 29: /PJ01 <NA> 0030 01
#> 30: /PJ01 <NA> 0360 12
#> 31: /PJ01 <NA> 0180 06
#> 32: /PJ01 <NA> 0030 01
#> 33: /PJ01 <NA> 0360 12
#> 34: /PJ01 <NA> 0180 06
#> 35: /PJ01 <NA> 0360 12
#> 36: /PJ01 <NA> 0060 02
#> 37: /PJ01 <NA> 0180 06
#> 38: /PJ01 <NA> 0090 03
#> 39: /PJ01 <NA> 0060 02
#> 40: /PJ01 <NA> 0060 02
#> 41: /PJ01 <NA> 0180 06
#> 42: /PJ01 <NA> 0060 02
#> 43: /PJ01 <NA> 0360 12
#> 44: /PJ01 <NA> 0360 12
#> 45: /PJ01 <NA> 0090 03
#> 46: /PJ01 <NA> 0090 03
#> 47: /PJ01 <NA> 0180 06
#> 48: /PJ01 <NA> 0090 03
#> 49: /PJ01 <NA> 0030 01
#> 50: /PJ01 <NA> 0090 03
#> 51: /PJ01 <NA> 0180 06
#> 52: /PJ01 <NA> 0090 03
#> 53: /PJ01 <NA> 0030 01
#> PathToFolderProjectID SamplesNameCheck TimepointDays TimepointMonths
#> TimepointYears ng DNA corrected RUN_NAME PHIX_MAPPING
#> 1: 01 23.18 PJ01|POOL01-1 43586699
#> 2: 01 181.44 PJ01|POOL01-1 43586699
#> 3: 01 181.44 PJ01|POOL01-1 43586699
#> 4: 01 181.44 PJ01|POOL01-1 43586699
#> 5: 01 23.06 PJ01|POOL01-1 43586699
#> 6: 01 171.36 PJ01|POOL01-1 43586699
#> 7: 01 23.18 PJ01|POOL01-1 43586699
#> 8: 01 171.36 PJ01|POOL01-1 43586699
#> 9: 01 23.85 PJ01|POOL01-1 43586699
#> 10: 01 45.15 PJ01|POOL02-1 20409455
#> 11: 01 23.06 PJ01|POOL01-1 43586699
#> 12: 01 89.21 PJ01|POOL01-1 43586699
#> 13: 01 171.36 PJ01|POOL01-1 43586699
#> 14: 01 23.85 PJ01|POOL01-1 43586699
#> 15: 01 26.57 PJ01|POOL01-1 43586699
#> 16: 01 300.03 PJ01|POOL01-1 43586699
#> 17: 01 26.57 PJ01|POOL01-1 43586699
#> 18: 01 26.57 PJ01|POOL01-1 43586699
#> 19: 01 89.21 PJ01|POOL01-1 43586699
#> 20: 01 89.21 PJ01|POOL01-1 43586699
#> 21: 01 300.03 PJ01|POOL01-1 43586699
#> 22: 01 300.03 PJ01|POOL01-1 43586699
#> 23: 01 42.00 PJ01|POOL02-1 20409455
#> 24: 01 23.18 PJ01|POOL01-1 43586699
#> 25: 01 23.85 PJ01|POOL01-1 43586699
#> 26: 01 23.06 PJ01|POOL01-1 43586699
#> 27: 01 299.32 PJ01|POOL03-1 51183662
#> 28: 01 181.50 PJ01|POOL04-1 18979629
#> 29: 01 181.50 PJ01|POOL04-1 18979629
#> 30: 01 299.32 PJ01|POOL03-1 51183662
#> 31: 01 196.50 PJ01|POOL04-1 18979629
#> 32: 01 181.50 PJ01|POOL04-1 18979629
#> 33: 01 300.48 PJ01|POOL03-1 51183662
#> 34: 01 196.50 PJ01|POOL04-1 18979629
#> 35: 01 300.48 PJ01|POOL03-1 51183662
#> 36: 01 77.40 PJ01|POOL04-1 18979629
#> 37: 01 196.50 PJ01|POOL04-1 18979629
#> 38: 01 135.15 PJ01|POOL04-1 18979629
#> 39: 01 172.50 PJ01|POOL04-1 18979629
#> 40: 01 172.50 PJ01|POOL04-1 18979629
#> 41: 01 122.55 PJ01|POOL04-1 18979629
#> 42: 01 172.50 PJ01|POOL04-1 18979629
#> 43: 01 300.48 PJ01|POOL03-1 51183662
#> 44: 01 299.32 PJ01|POOL03-1 51183662
#> 45: 01 135.15 PJ01|POOL04-1 18979629
#> 46: 01 123.00 PJ01|POOL04-1 18979629
#> 47: 01 122.55 PJ01|POOL04-1 18979629
#> 48: 01 135.15 PJ01|POOL04-1 18979629
#> 49: 01 106.35 PJ01|POOL04-1 18979629
#> 50: 01 123.00 PJ01|POOL04-1 18979629
#> 51: 01 122.55 PJ01|POOL04-1 18979629
#> 52: 01 123.00 PJ01|POOL04-1 18979629
#> 53: 01 106.35 PJ01|POOL04-1 18979629
#> TimepointYears ng DNA corrected RUN_NAME PHIX_MAPPING
#> PLASMID_MAPPED_BYPOOL BARCODE_MUX LTR_IDENTIFIED TRIMMING_FINAL_LTRLC
#> 1: 2256176 645026 645026 630965
#> 2: 2256176 652208 652177 649044
#> 3: 2256176 451519 451512 449669
#> 4: 2256176 426500 426499 425666
#> 5: 2256176 18300 18300 18290
#> 6: 2256176 729327 729327 727219
#> 7: 2256176 14999 14999 14996
#> 8: 2256176 748869 748865 746189
#> 9: 2256176 445754 445754 445717
#> 10: 1560035 1178016 1178016 1170116
#> 11: 2256176 36760 36760 36759
#> 12: 2256176 738518 738518 738512
#> 13: 2256176 971374 971339 968244
#> 14: 2256176 430438 430438 430423
#> 15: 2256176 33023 33023 33022
#> 16: 2256176 513783 513365 511701
#> 17: 2256176 635010 635010 634929
#> 18: 2256176 84541 84541 84540
#> 19: 2256176 633931 633931 631334
#> 20: 2256176 408400 408400 408393
#> 21: 2256176 553160 553160 551962
#> 22: 2256176 454734 454734 453088
#> 23: 1560035 800640 800640 800594
#> 24: 2256176 44888 44888 44876
#> 25: 2256176 7477 7477 7474
#> 26: 2256176 71185 71185 71181
#> 27: 392602 6120512 6120512 6104882
#> 28: 1074651 456215 456210 452788
#> 29: 1074651 484852 484843 480224
#> 30: 392602 3536618 3536575 3532982
#> 31: 1074651 641193 640603 636224
#> 32: 1074651 660233 660117 654590
#> 33: 392602 963093 963017 961733
#> 34: 1074651 790616 790360 783702
#> 35: 392602 5308967 5308966 5280083
#> 36: 1074651 342636 342485 338616
#> 37: 1074651 490058 489719 487186
#> 38: 1074651 524854 524774 517187
#> 39: 1074651 308320 308114 306191
#> 40: 1074651 508548 508425 501959
#> 41: 1074651 995886 995864 980033
#> 42: 1074651 342626 342539 340481
#> 43: 392602 594361 594361 593948
#> 44: 392602 1827545 1827545 1825772
#> 45: 1074651 347728 347697 343609
#> 46: 1074651 346363 346362 342932
#> 47: 1074651 354092 353983 350767
#> 48: 1074651 405322 405276 402861
#> 49: 1074651 631307 631307 622869
#> 50: 1074651 361156 361138 358344
#> 51: 1074651 339082 338995 335745
#> 52: 1074651 331492 331477 328046
#> 53: 1074651 392967 392765 390451
#> PLASMID_MAPPED_BYPOOL BARCODE_MUX LTR_IDENTIFIED TRIMMING_FINAL_LTRLC
#> LV_MAPPED BWA_MAPPED_OVERALL ISS_MAPPED_OVERALL RAW_READS QUALITY_PASSED
#> 1: 211757 402477 219452 NA NA
#> 2: 303300 322086 222646 NA NA
#> 3: 204810 227275 149385 NA NA
#> 4: 185752 223915 143283 NA NA
#> 5: 6962 10487 5907 NA NA
#> 6: 318653 369117 235640 NA NA
#> 7: 6006 8591 5829 NA NA
#> 8: 339742 376479 247960 NA NA
#> 9: 217780 227190 192502 NA NA
#> 10: 567207 533620 310663 NA NA
#> 11: 31750 4654 4028 NA NA
#> 12: 345886 372292 251017 NA NA
#> 13: 410946 512137 320550 NA NA
#> 14: 195339 215676 176573 NA NA
#> 15: 19255 12545 8953 NA NA
#> 16: 213205 274453 178588 NA NA
#> 17: 273550 312464 173183 NA NA
#> 18: 55966 26795 24950 NA NA
#> 19: 273665 331492 207297 NA NA
#> 20: 193851 205558 142060 NA NA
#> 21: 249875 283399 189193 NA NA
#> 22: 201674 234982 160477 NA NA
#> 23: 396738 370781 234541 NA NA
#> 24: 18502 23817 16606 NA NA
#> 25: 3182 3944 2824 NA NA
#> 26: 37973 30617 19250 NA NA
#> 27: 2926769 2900368 1966725 NA NA
#> 28: 200981 210935 119095 NA NA
#> 29: 209373 214620 114170 NA NA
#> 30: 1663771 1787575 1334185 NA NA
#> 31: 297970 300563 180099 NA NA
#> 32: 278720 310685 171359 NA NA
#> 33: 449611 496042 374392 NA NA
#> 34: 348153 378898 222706 NA NA
#> 35: 2528864 2455083 1633331 NA NA
#> 36: 156154 162504 94468 NA NA
#> 37: 218398 241840 150078 NA NA
#> 38: 223785 235568 125591 NA NA
#> 39: 139167 142056 83601 NA NA
#> 40: 215787 234853 128363 NA NA
#> 41: 448587 368752 173206 NA NA
#> 42: 150283 161629 93421 NA NA
#> 43: 291931 293238 221993 NA NA
#> 44: 885302 903768 673344 NA NA
#> 45: 155701 155486 84035 NA NA
#> 46: 149781 167400 94120 NA NA
#> 47: 153595 163215 92043 NA NA
#> 48: 177016 187252 107526 NA NA
#> 49: 290076 271014 133798 NA NA
#> 50: 156230 165088 90776 NA NA
#> 51: 149265 158919 88033 NA NA
#> 52: 146490 147277 75439 NA NA
#> 53: 184167 172582 96911 NA NA
#> LV_MAPPED BWA_MAPPED_OVERALL ISS_MAPPED_OVERALL RAW_READS QUALITY_PASSED
#> ISS_MAPPED_PP seqCount_sum seqCount_count seqCount_shannon seqCount_simpson
#> 1: NA 357 15 1.4928134 0.6693815
#> 2: NA 129867 72 3.2386944 0.9183413
#> 3: NA 77474 76 3.1390767 0.9088955
#> 4: NA 80610 67 3.0212128 0.9041340
#> 5: NA 147 26 2.4915716 0.8738951
#> 6: NA 50859 82 3.7551750 0.9623687
#> 7: NA 111 41 3.1703844 0.9263858
#> 8: NA 53887 90 3.8384970 0.9721518
#> 9: NA 121304 11 1.7647042 0.8132592
#> 10: NA 16723 43 3.4154154 0.9626384
#> 11: NA 44 10 1.9999913 0.8326446
#> 12: NA 75905 31 2.7312148 0.9128491
#> 13: NA 57684 77 3.8446041 0.9736556
#> 14: NA 120472 19 2.3275229 0.8971868
#> 15: NA 81 13 2.3180241 0.8876696
#> 16: NA 3029 22 1.8161366 0.8042655
#> 17: NA 116284 29 1.8520688 0.8373618
#> 18: NA 33 10 1.9298441 0.8191001
#> 19: NA 57443 20 2.4093193 0.8977445
#> 20: NA 41488 39 2.8907905 0.9382894
#> 21: NA 3697 32 1.9732310 0.8417839
#> 22: NA 559 10 0.8013509 0.4811877
#> 23: NA 42122 78 4.0692422 0.9797955
#> 24: NA 30 8 1.8858896 0.8288889
#> 25: NA 1 1 0.0000000 0.0000000
#> 26: NA 1 1 0.0000000 0.0000000
#> 27: NA 51114 48 3.5182831 0.9645795
#> 28: NA 7516 65 3.9064574 0.9751075
#> 29: NA 5978 74 3.7693672 0.9683265
#> 30: NA 47816 46 3.3455043 0.9558975
#> 31: NA 5014 48 3.4524970 0.9589726
#> 32: NA 9150 87 4.0217856 0.9787792
#> 33: NA 4287 12 2.1443631 0.8693443
#> 34: NA 5238 52 3.5545359 0.9636314
#> 35: NA 45416 35 3.2141718 0.9518653
#> 36: NA 1468 18 1.9669258 0.8235138
#> 37: NA 3280 52 3.6004539 0.9671765
#> 38: NA 1029 36 2.2300233 0.8582969
#> 39: NA 1851 20 2.5605560 0.9056275
#> 40: NA 2089 19 2.4844667 0.9017753
#> 41: NA 69 24 2.7403346 0.9103130
#> 42: NA 1271 25 2.5482273 0.8953097
#> 43: NA 1291 9 1.8695596 0.8200513
#> 44: NA 16360 26 2.8263876 0.9281503
#> 45: NA 565 10 1.9839406 0.8496076
#> 46: NA 1538 14 1.8294052 0.8298129
#> 47: NA 1958 8 1.7666363 0.8149891
#> 48: NA 661 9 1.9948568 0.8502498
#> 49: NA 1388 12 1.6183566 0.7803891
#> 50: NA 117 11 0.5982805 0.2084886
#> 51: NA 1 1 0.0000000 0.0000000
#> 52: NA 40 2 0.1169068 0.0487500
#> 53: NA 3 3 1.0986123 0.6666667
#> ISS_MAPPED_PP seqCount_sum seqCount_count seqCount_shannon seqCount_simpson
#> seqCount_invsimpson fragmentEstimate_sum fragmentEstimate_count
#> 1: 3.024634 201.064659 15
#> 2: 12.246099 466.804667 72
#> 3: 10.976410 445.727398 76
#> 4: 10.431224 354.159459 67
#> 5: 7.929908 134.338758 26
#> 6: 26.573601 232.251224 82
#> 7: 13.584344 86.913928 41
#> 8: 35.908927 279.440177 90
#> 9: 5.355015 54.445672 11
#> 10: 26.765430 1812.911554 43
#> 11: 5.975309 34.333137 10
#> 12: 11.474357 98.541329 31
#> 13: 37.958724 221.918390 77
#> 14: 9.726378 63.390419 19
#> 15: 8.902307 20.097692 13
#> 16: 5.108961 53.231043 22
#> 17: 6.148615 66.365138 29
#> 18: 5.527919 26.162592 10
#> 19: 9.779427 66.290122 20
#> 20: 16.204669 91.324857 39
#> 21: 6.320471 46.100979 32
#> 22: 1.927479 15.029208 10
#> 23: 49.493862 3547.631728 78
#> 24: 5.844156 8.007481 8
#> 25: 1.000000 1.000452 1
#> 26: 1.000000 1.000310 1
#> 27: 28.232219 172.660748 48
#> 28: 40.172734 206.011551 65
#> 29: 31.572121 218.425224 74
#> 30: 22.674426 147.531730 46
#> 31: 24.373976 130.581517 48
#> 32: 47.123641 256.236461 87
#> 33: 7.653703 40.176384 12
#> 34: 27.496256 154.626814 52
#> 35: 20.775038 166.082193 35
#> 36: 5.666165 94.906121 18
#> 37: 30.466007 134.490805 52
#> 38: 7.057011 57.190086 36
#> 39: 10.596312 46.149863 20
#> 40: 10.180735 37.113766 19
#> 41: 11.149883 37.174678 24
#> 42: 9.551983 51.164592 25
#> 43: 5.557141 26.094255 9
#> 44: 13.917941 55.138395 26
#> 45: 6.649274 27.081549 10
#> 46: 5.875887 94.719278 14
#> 47: 5.405088 106.417161 8
#> 48: 6.677788 22.061603 9
#> 49: 4.553509 75.778512 12
#> 50: 1.263406 12.021148 11
#> 51: 1.000000 1.001736 1
#> 52: 1.051248 2.002185 2
#> 53: 3.000000 3.004764 3
#> seqCount_invsimpson fragmentEstimate_sum fragmentEstimate_count
#> fragmentEstimate_shannon fragmentEstimate_simpson
#> 1: 1.5158967 0.6644034
#> 2: 3.4957593 0.9358864
#> 3: 3.4547233 0.9325986
#> 4: 3.3077507 0.9214312
#> 5: 2.4694808 0.8728520
#> 6: 4.1255479 0.9773086
#> 7: 3.2043690 0.9288182
#> 8: 4.2520301 0.9826514
#> 9: 2.0916345 0.8525232
#> 10: 3.4978977 0.9656616
#> 11: 1.8788583 0.7963169
#> 12: 3.2110253 0.9515061
#> 13: 4.1785406 0.9823708
#> 14: 2.7062808 0.9234798
#> 15: 2.1595245 0.8085066
#> 16: 2.8040916 0.9232304
#> 17: 3.1435438 0.9474470
#> 18: 2.0115316 0.8337413
#> 19: 2.8796549 0.9388584
#> 20: 3.4951040 0.9657862
#> 21: 3.3264870 0.9583635
#> 22: 2.1757058 0.8709946
#> 23: 4.1321436 0.9821639
#> 24: 2.0794415 0.8750000
#> 25: 0.0000000 0.0000000
#> 26: 0.0000000 0.0000000
#> 27: 3.7466139 0.9724395
#> 28: 4.0347118 0.9794325
#> 29: 4.1017170 0.9801725
#> 30: 3.7422290 0.9739783
#> 31: 3.6532389 0.9690120
#> 32: 4.2743192 0.9837312
#> 33: 2.3602980 0.8907893
#> 34: 3.7796517 0.9736284
#> 35: 3.3921932 0.9600307
#> 36: 2.5886973 0.9080593
#> 37: 3.7994565 0.9747936
#> 38: 3.4030063 0.9589507
#> 39: 2.8516684 0.9347119
#> 40: 2.7383206 0.9217140
#> 41: 2.9976077 0.9391220
#> 42: 3.0478044 0.9449613
#> 43: 2.0881376 0.8668208
#> 44: 3.1241984 0.9513700
#> 45: 2.2105119 0.8833528
#> 46: 2.0462669 0.8345178
#> 47: 1.9118719 0.8417363
#> 48: 2.1289383 0.8759944
#> 49: 2.0395769 0.8360567
#> 50: 2.3693447 0.9027688
#> 51: 0.0000000 0.0000000
#> 52: 0.6931471 0.5000000
#> 53: 1.0986117 0.6666663
#> fragmentEstimate_shannon fragmentEstimate_simpson
#> fragmentEstimate_invsimpson seqCount_describe_vars seqCount_describe_n
#> 1: 2.979768 1 15
#> 2: 15.597315 1 72
#> 3: 14.836491 1 76
#> 4: 12.727698 1 67
#> 5: 7.864852 1 26
#> 6: 44.069549 1 82
#> 7: 14.048533 1 41
#> 8: 57.641549 1 90
#> 9: 6.780730 1 11
#> 10: 29.121899 1 43
#> 11: 4.909587 1 10
#> 12: 20.621135 1 31
#> 13: 56.724054 1 77
#> 14: 13.068445 1 19
#> 15: 5.222113 1 13
#> 16: 13.025989 1 22
#> 17: 19.028416 1 29
#> 18: 6.014722 1 10
#> 19: 16.355473 1 20
#> 20: 29.227978 1 39
#> 21: 24.017379 1 32
#> 22: 7.751614 1 10
#> 23: 56.066071 1 78
#> 24: 7.999999 1 8
#> 25: 1.000000 1 1
#> 26: 1.000000 1 1
#> 27: 36.283780 1 48
#> 28: 48.620400 1 65
#> 29: 50.434894 1 74
#> 30: 38.429519 1 46
#> 31: 32.270520 1 48
#> 32: 61.467277 1 87
#> 33: 9.156610 1 12
#> 34: 37.919638 1 52
#> 35: 25.019190 1 35
#> 36: 10.876572 1 18
#> 37: 39.672460 1 52
#> 38: 24.360939 1 36
#> 39: 15.316731 1 20
#> 40: 12.773677 1 19
#> 41: 16.426308 1 24
#> 42: 18.169039 1 25
#> 43: 7.508679 1 9
#> 44: 20.563431 1 26
#> 45: 8.572855 1 10
#> 46: 6.042945 1 14
#> 47: 6.318567 1 8
#> 48: 8.064152 1 9
#> 49: 6.099669 1 12
#> 50: 10.284764 1 11
#> 51: 1.000000 1 1
#> 52: 2.000000 1 2
#> 53: 2.999996 1 3
#> fragmentEstimate_invsimpson seqCount_describe_vars seqCount_describe_n
#> seqCount_describe_mean seqCount_describe_sd seqCount_describe_median
#> 1: 23.800000 49.019238 4.0
#> 2: 1803.708333 4012.246817 903.0
#> 3: 1019.394737 2497.605611 455.0
#> 4: 1203.134328 2822.931234 420.0
#> 5: 5.653846 8.703757 2.0
#> 6: 620.231707 901.262931 442.0
#> 7: 2.707317 3.893866 1.0
#> 8: 598.744444 738.974290 411.0
#> 9: 11027.636364 11874.895623 11559.0
#> 10: 388.906977 306.470446 334.0
#> 11: 4.400000 3.806427 3.0
#> 12: 2448.548387 3246.888632 1489.0
#> 13: 749.142857 764.732250 547.0
#> 14: 6340.631579 6360.953101 6249.0
#> 15: 6.230769 4.399883 4.0
#> 16: 137.681818 256.236012 5.0
#> 17: 4009.793103 7867.007184 2.0
#> 18: 3.300000 3.128720 1.5
#> 19: 2872.150000 3012.494250 2149.5
#> 20: 1063.794872 1278.207239 275.0
#> 21: 115.531250 236.598746 1.0
#> 22: 55.900000 120.586944 1.0
#> 23: 540.025641 412.486599 565.5
#> 24: 3.750000 2.434866 4.0
#> 25: 1.000000 NA 1.0
#> 26: 1.000000 NA 1.0
#> 27: 1064.875000 900.485605 860.5
#> 28: 115.630769 91.609151 102.0
#> 29: 80.783784 94.287126 47.5
#> 30: 1039.478261 1065.948169 763.5
#> 31: 104.458333 103.931434 73.5
#> 32: 105.172414 97.308453 79.0
#> 33: 357.250000 281.183901 368.5
#> 34: 100.730769 96.019221 73.5
#> 35: 1297.600000 1089.406698 1061.0
#> 36: 81.555556 123.814008 16.5
#> 37: 63.076923 53.547797 52.0
#> 38: 28.583333 58.707203 1.0
#> 39: 92.550000 89.451236 73.5
#> 40: 109.947368 105.136141 92.0
#> 41: 2.875000 3.152811 1.0
#> 42: 50.840000 65.987170 24.0
#> 43: 143.444444 119.755074 111.0
#> 44: 629.230769 597.873920 425.0
#> 45: 56.500000 42.277522 59.5
#> 46: 109.857143 134.051573 4.0
#> 47: 244.750000 181.291990 317.0
#> 48: 73.444444 45.937760 58.0
#> 49: 115.666667 154.491738 12.5
#> 50: 10.636364 30.968606 1.0
#> 51: 1.000000 NA 1.0
#> 52: 20.000000 26.870058 20.0
#> 53: 1.000000 0.000000 1.0
#> seqCount_describe_mean seqCount_describe_sd seqCount_describe_median
#> seqCount_describe_trimmed seqCount_describe_mad seqCount_describe_min
#> 1: 13.384615 4.4478 1
#> 2: 948.258621 876.2166 1
#> 3: 485.274194 582.6618 1
#> 4: 556.254545 517.4274 1
#> 5: 3.772727 1.4826 1
#> 6: 469.787879 544.1142 1
#> 7: 1.787879 0.0000 1
#> 8: 456.513889 583.4031 1
#> 9: 9547.666667 15758.5554 1
#> 10: 368.628571 314.3112 2
#> 11: 3.875000 2.2239 1
#> 12: 1813.800000 2204.6262 1
#> 13: 639.126984 621.2094 1
#> 14: 6057.764706 9263.2848 1
#> 15: 6.090909 4.4478 1
#> 16: 82.111111 5.9304 1
#> 17: 2912.120000 1.4826 1
#> 18: 2.875000 0.7413 1
#> 19: 2500.312500 3169.0575 1
#> 20: 930.606061 406.2324 1
#> 21: 61.615385 0.0000 1
#> 22: 25.125000 0.0000 1
#> 23: 520.734375 440.3322 1
#> 24: 3.750000 2.2239 1
#> 25: 1.000000 0.0000 1
#> 26: 1.000000 0.0000 1
#> 27: 969.150000 873.2514 3
#> 28: 102.905660 72.6474 1
#> 29: 66.366667 57.8214 1
#> 30: 884.184211 960.7248 2
#> 31: 89.400000 72.6474 1
#> 32: 94.169014 100.8168 1
#> 33: 344.200000 366.9435 10
#> 34: 87.047619 71.1648 1
#> 35: 1187.586207 1068.9546 38
#> 36: 64.500000 22.9803 1
#> 37: 56.666667 53.3736 1
#> 38: 15.133333 0.0000 1
#> 39: 78.062500 74.8713 1
#> 40: 102.941176 114.1602 1
#> 41: 2.200000 0.0000 1
#> 42: 40.190476 29.6520 1
#> 43: 143.444444 100.8168 1
#> 44: 575.000000 510.7557 2
#> 45: 56.250000 58.5627 1
#> 46: 99.916667 4.4478 1
#> 47: 244.750000 174.2055 12
#> 48: 73.444444 50.4084 1
#> 49: 101.200000 17.0499 1
#> 50: 1.333333 0.0000 1
#> 51: 1.000000 0.0000 1
#> 52: 20.000000 28.1694 1
#> 53: 1.000000 0.0000 1
#> seqCount_describe_trimmed seqCount_describe_mad seqCount_describe_min
#> seqCount_describe_max seqCount_describe_range seqCount_describe_skew
#> 1: 182 181 2.301241908
#> 2: 23219 23218 4.241584903
#> 3: 14748 14747 4.426622167
#> 4: 17030 17029 4.090477930
#> 5: 32 31 2.045164619
#> 6: 6831 6830 4.440115101
#> 7: 21 20 3.479912926
#> 8: 3420 3419 1.802565558
#> 9: 35374 35373 0.542170566
#> 10: 980 978 0.445493428
#> 11: 12 11 0.919078343
#> 12: 15387 15386 2.203411709
#> 13: 3099 3098 1.189911727
#> 14: 17489 17488 0.258600919
#> 15: 13 12 0.214947146
#> 16: 899 898 1.695818613
#> 17: 23099 23098 1.433389491
#> 18: 9 8 0.729559680
#> 19: 9255 9254 0.665725699
#> 20: 4081 4080 0.764076544
#> 21: 931 930 1.904838107
#> 22: 357 356 1.610560306
#> 23: 2776 2775 1.867297249
#> 24: 8 7 0.305241830
#> 25: 1 0 NA
#> 26: 1 0 NA
#> 27: 3447 3444 0.872205813
#> 28: 485 484 1.803069328
#> 29: 602 601 2.602506887
#> 30: 4633 4631 1.365036835
#> 31: 492 491 1.598850712
#> 32: 399 398 0.920512611
#> 33: 835 825 0.130786772
#> 34: 485 484 1.638509198
#> 35: 4600 4562 0.970808861
#> 36: 435 434 1.452104290
#> 37: 224 223 0.984500650
#> 38: 263 262 2.380294965
#> 39: 300 299 1.081245294
#> 40: 338 337 0.715416659
#> 41: 12 11 1.721437804
#> 42: 230 229 1.460662654
#> 43: 379 378 0.609430398
#> 44: 1847 1845 0.814842416
#> 45: 114 113 -0.003001335
#> 46: 338 337 0.446900149
#> 47: 446 434 -0.275019641
#> 48: 163 162 0.381570108
#> 49: 375 374 0.656807751
#> 50: 104 103 2.465923327
#> 51: 1 0 NA
#> 52: 39 38 0.000000000
#> 53: 1 0 NaN
#> seqCount_describe_max seqCount_describe_range seqCount_describe_skew
#> seqCount_describe_kurtosis seqCount_describe_se
#> 1: 4.4006968 12.6567129
#> 2: 17.5610094 472.8478220
#> 3: 19.2823139 286.4950121
#> 4: 17.1580681 344.8759404
#> 5: 3.0002933 1.7069472
#> 6: 26.1076318 99.5278409
#> 7: 12.2312876 0.6081198
#> 8: 3.3451795 77.8947296
#> 9: -1.0023479 3580.4157460
#> 10: -1.0232860 46.7363048
#> 11: -0.7765928 1.2036980
#> 12: 5.7210093 583.1584134
#> 13: 0.6675981 87.1493280
#> 14: -1.6185786 1459.3027238
#> 15: -1.7809891 1.2203081
#> 16: 1.6582823 54.6297014
#> 17: 0.1905641 1460.8665594
#> 18: -1.3581940 0.9893881
#> 19: -0.9237911 673.6141925
#> 20: -0.9036271 204.6769654
#> 21: 2.7235555 41.8251445
#> 22: 1.0549935 38.1329400
#> 23: 8.7391643 46.7049103
#> 24: -1.3723939 0.8608551
#> 25: NA NA
#> 26: NA NA
#> 27: -0.1202778 129.9739016
#> 28: 4.1475510 11.3627167
#> 29: 10.5808065 10.9606558
#> 30: 1.6176863 157.1654832
#> 31: 2.5227001 15.0012103
#> 32: 0.2614462 10.4325612
#> 33: -1.5703281 81.1708006
#> 34: 3.3180379 13.3154702
#> 35: 0.4571943 184.1433411
#> 36: 1.1279457 29.1832415
#> 37: 0.3744349 7.4257433
#> 38: 5.4638897 9.7845339
#> 39: 0.2435027 20.0019045
#> 40: -0.6542499 24.1198850
#> 41: 1.9755420 0.6435649
#> 42: 0.8237687 13.1974341
#> 43: -0.9585728 39.9183580
#> 44: -0.7629889 117.2527226
#> 45: -1.6485903 13.3693264
#> 46: -1.7003497 35.8267898
#> 47: -1.9433976 64.0963978
#> 48: -0.6556674 15.3125866
#> 49: -1.5340806 44.5979231
#> 50: 4.5174735 9.3373860
#> 51: NA NA
#> 52: -2.7500000 19.0000000
#> 53: NaN 0.0000000
#> seqCount_describe_kurtosis seqCount_describe_se
#> fragmentEstimate_describe_vars fragmentEstimate_describe_n
#> 1: 1 15
#> 2: 1 72
#> 3: 1 76
#> 4: 1 67
#> 5: 1 26
#> 6: 1 82
#> 7: 1 41
#> 8: 1 90
#> 9: 1 11
#> 10: 1 43
#> 11: 1 10
#> 12: 1 31
#> 13: 1 77
#> 14: 1 19
#> 15: 1 13
#> 16: 1 22
#> 17: 1 29
#> 18: 1 10
#> 19: 1 20
#> 20: 1 39
#> 21: 1 32
#> 22: 1 10
#> 23: 1 78
#> 24: 1 8
#> 25: 1 1
#> 26: 1 1
#> 27: 1 48
#> 28: 1 65
#> 29: 1 74
#> 30: 1 46
#> 31: 1 48
#> 32: 1 87
#> 33: 1 12
#> 34: 1 52
#> 35: 1 35
#> 36: 1 18
#> 37: 1 52
#> 38: 1 36
#> 39: 1 20
#> 40: 1 19
#> 41: 1 24
#> 42: 1 25
#> 43: 1 9
#> 44: 1 26
#> 45: 1 10
#> 46: 1 14
#> 47: 1 8
#> 48: 1 9
#> 49: 1 12
#> 50: 1 11
#> 51: 1 1
#> 52: 1 2
#> 53: 1 3
#> fragmentEstimate_describe_vars fragmentEstimate_describe_n
#> fragmentEstimate_describe_mean fragmentEstimate_describe_sd
#> 1: 13.404311 2.786707e+01
#> 2: 6.483398 1.241552e+01
#> 3: 5.864834 1.198705e+01
#> 4: 5.285962 1.099775e+01
#> 5: 5.166875 8.001288e+00
#> 6: 2.832332 2.643828e+00
#> 7: 2.119852 2.972646e+00
#> 8: 3.104891 2.339368e+00
#> 9: 4.949607 4.094939e+00
#> 10: 42.160734 2.944916e+01
#> 11: 3.433314 3.685074e+00
#> 12: 3.178753 2.292427e+00
#> 13: 2.882057 1.734395e+00
#> 14: 3.336338 2.309314e+00
#> 15: 1.545976 1.963774e+00
#> 16: 2.419593 2.055568e+00
#> 17: 2.288453 1.685942e+00
#> 18: 2.616259 2.244818e+00
#> 19: 3.314506 1.605262e+00
#> 20: 2.341663 1.371696e+00
#> 21: 1.440656 8.438481e-01
#> 22: 1.502921 8.532066e-01
#> 23: 45.482458 2.863215e+01
#> 24: 1.000935 4.346800e-04
#> 25: 1.000452 NA
#> 26: 1.000310 NA
#> 27: 3.597099 2.065673e+00
#> 28: 3.169408 1.853904e+00
#> 29: 2.951692 2.031396e+00
#> 30: 3.207212 1.439228e+00
#> 31: 2.720448 1.919404e+00
#> 32: 2.945247 1.909232e+00
#> 33: 3.348032 1.948654e+00
#> 34: 2.973593 1.829670e+00
#> 35: 4.745206 3.040856e+00
#> 36: 5.272562 4.390682e+00
#> 37: 2.586362 1.455792e+00
#> 38: 1.588614 1.113647e+00
#> 39: 2.307493 1.309092e+00
#> 40: 1.953356 1.401134e+00
#> 41: 1.548945 1.074389e+00
#> 42: 2.046584 1.280763e+00
#> 43: 2.899362 1.370511e+00
#> 44: 2.120707 1.112019e+00
#> 45: 2.708155 1.164725e+00
#> 46: 6.765663 8.056651e+00
#> 47: 13.302145 7.335810e+00
#> 48: 2.451289 8.857151e-01
#> 49: 6.314876 6.487004e+00
#> 50: 1.092832 3.022575e-01
#> 51: 1.001736 NA
#> 52: 1.001093 3.673758e-04
#> 53: 1.001588 1.338704e-03
#> fragmentEstimate_describe_mean fragmentEstimate_describe_sd
#> fragmentEstimate_describe_median fragmentEstimate_describe_trimmed
#> 1: 3.012512 7.470644
#> 2: 3.012057 3.811294
#> 3: 3.009877 3.142067
#> 4: 3.008092 2.737114
#> 5: 1.003097 3.513520
#> 6: 2.505033 2.324454
#> 7: 1.002015 1.398289
#> 8: 3.007780 2.718686
#> 9: 4.015796 4.581450
#> 10: 39.036122 40.562169
#> 11: 2.004800 2.772710
#> 12: 2.005189 2.811093
#> 13: 3.007980 2.659478
#> 14: 4.008330 3.194304
#> 15: 1.001018 1.001403
#> 16: 1.001317 2.006402
#> 17: 2.004555 2.048540
#> 18: 1.503943 2.262289
#> 19: 3.010762 3.262810
#> 20: 2.005080 2.249665
#> 21: 1.001360 1.310164
#> 22: 1.001153 1.377210
#> 23: 42.000196 44.901123
#> 24: 1.001025 1.000935
#> 25: 1.000452 1.000452
#> 26: 1.000310 1.000310
#> 27: 3.010014 3.335589
#> 28: 3.009442 2.896971
#> 29: 2.505801 2.611686
#> 30: 3.009387 3.113838
#> 31: 2.005851 2.433007
#> 32: 3.008802 2.671993
#> 33: 3.007868 3.007499
#> 34: 3.007741 2.723031
#> 35: 3.011246 4.200535
#> 36: 4.032253 4.801168
#> 37: 2.506984 2.436239
#> 38: 1.001915 1.369925
#> 39: 2.004245 2.131404
#> 40: 1.001656 1.769694
#> 41: 1.002144 1.354908
#> 42: 2.004350 1.862934
#> 43: 3.012131 2.899362
#> 44: 2.003264 2.050231
#> 45: 3.010009 2.758162
#> 46: 2.009365 5.674497
#> 47: 15.161805 13.302145
#> 48: 3.006917 2.451289
#> 49: 4.079891 5.237292
#> 50: 1.001625 1.001750
#> 51: 1.001736 1.001736
#> 52: 1.001093 1.001093
#> 53: 1.001111 1.001588
#> fragmentEstimate_describe_median fragmentEstimate_describe_trimmed
#> fragmentEstimate_describe_mad fragmentEstimate_describe_min
#> 1: 2.981298e+00 1.000572
#> 2: 2.239587e+00 1.000302
#> 3: 2.976246e+00 1.000270
#> 4: 1.499789e+00 1.000251
#> 5: 3.649738e-03 1.000438
#> 6: 7.510140e-01 1.000188
#> 7: 1.265862e-03 1.000363
#> 8: 2.974732e+00 1.000237
#> 9: 4.468958e+00 1.000326
#> 10: 3.926041e+01 2.005726
#> 11: 1.488527e+00 1.000361
#> 12: 1.488346e+00 1.001245
#> 13: 1.492398e+00 1.000395
#> 14: 4.457778e+00 1.000797
#> 15: 8.451267e-04 1.000448
#> 16: 1.496358e-03 1.000189
#> 17: 1.487282e+00 1.000170
#> 18: 7.462303e-01 1.000481
#> 19: 1.490373e+00 1.000878
#> 20: 1.488259e+00 1.001013
#> 21: 2.548275e-04 1.000364
#> 22: 3.453061e-04 1.000484
#> 23: 3.203641e+01 1.000095
#> 24: 5.625647e-04 1.000271
#> 25: 0.000000e+00 1.000452
#> 26: 0.000000e+00 1.000310
#> 27: 1.204654e-02 1.000891
#> 28: 1.487735e+00 1.000853
#> 29: 2.229894e+00 1.000748
#> 30: 9.548069e-03 1.000647
#> 31: 1.489289e+00 1.000233
#> 32: 1.498433e+00 1.000451
#> 33: 3.832020e-03 1.001297
#> 34: 1.489516e+00 1.000130
#> 35: 7.114164e-03 1.704548
#> 36: 4.291451e+00 1.000211
#> 37: 2.231648e+00 1.000260
#> 38: 9.476613e-04 1.000654
#> 39: 1.487938e+00 1.000463
#> 40: 1.351624e-03 1.000429
#> 41: 1.444463e-03 1.000319
#> 42: 1.487306e+00 1.000216
#> 43: 1.492358e+00 1.000102
#> 44: 1.486179e+00 1.000286
#> 45: 1.488739e+00 1.000356
#> 46: 1.495089e+00 1.000901
#> 47: 3.344285e+00 2.004955
#> 48: 1.028171e-02 1.000461
#> 49: 4.564592e+00 1.000782
#> 50: 5.953127e-04 1.001224
#> 51: 0.000000e+00 1.001736
#> 52: 3.851408e-04 1.000833
#> 53: 8.263112e-04 1.000553
#> fragmentEstimate_describe_mad fragmentEstimate_describe_min
#> fragmentEstimate_describe_max fragmentEstimate_describe_range
#> 1: 102.945718 1.019451e+02
#> 2: 68.737467 6.773717e+01
#> 3: 65.157600 6.415733e+01
#> 4: 60.847813 5.984756e+01
#> 5: 28.628174 2.762774e+01
#> 6: 18.345126 1.734494e+01
#> 7: 15.439133 1.443877e+01
#> 8: 13.173494 1.217326e+01
#> 9: 12.212294 1.121197e+01
#> 10: 102.491428 1.004857e+02
#> 11: 11.151093 1.015073e+01
#> 12: 9.105808 8.104562e+00
#> 13: 9.105112 8.104718e+00
#> 14: 8.086461 7.085664e+00
#> 15: 8.081811 7.081363e+00
#> 16: 8.065660 7.065471e+00
#> 17: 7.078347 6.078178e+00
#> 18: 7.063803 6.063322e+00
#> 19: 6.042502 5.041624e+00
#> 20: 5.034588 4.033575e+00
#> 21: 3.013021 2.012657e+00
#> 22: 3.011042 2.010558e+00
#> 23: 100.161988 9.916189e+01
#> 24: 1.001434 1.163127e-03
#> 25: 1.000452 0.000000e+00
#> 26: 1.000310 0.000000e+00
#> 27: 14.083418 1.308253e+01
#> 28: 11.158685 1.015783e+01
#> 29: 10.158522 9.157774e+00
#> 30: 10.115103 9.114456e+00
#> 31: 9.119998 8.119765e+00
#> 32: 9.101815 8.101365e+00
#> 33: 9.100094 8.098797e+00
#> 34: 9.084035 8.083906e+00
#> 35: 12.600475 1.089593e+01
#> 36: 17.087221 1.608701e+01
#> 37: 7.049681 6.049421e+00
#> 38: 6.046701 5.046047e+00
#> 39: 6.029366 5.028903e+00
#> 40: 6.028539 5.028110e+00
#> 41: 5.054662 4.054343e+00
#> 42: 5.022865 4.022649e+00
#> 43: 5.015339 4.015236e+00
#> 44: 4.016451 3.016165e+00
#> 45: 4.015899 3.015543e+00
#> 46: 25.624419 2.462352e+01
#> 47: 23.579866 2.157491e+01
#> 48: 3.014156 2.013695e+00
#> 49: 22.404813 2.140403e+01
#> 50: 2.004172 1.002948e+00
#> 51: 1.001736 0.000000e+00
#> 52: 1.001352 5.195478e-04
#> 53: 1.003100 2.546580e-03
#> fragmentEstimate_describe_max fragmentEstimate_describe_range
#> fragmentEstimate_describe_skew fragmentEstimate_describe_kurtosis
#> 1: 2.316325e+00 4.3379571
#> 2: 4.200284e+00 17.0134959
#> 3: 4.164724e+00 16.6881143
#> 4: 4.174675e+00 17.0548285
#> 5: 1.953187e+00 2.5068058
#> 6: 3.564088e+00 15.7237949
#> 7: 3.465180e+00 11.6912367
#> 8: 1.472620e+00 2.7446859
#> 9: 6.186531e-01 -1.2808229
#> 10: 3.158471e-01 -1.1336562
#> 11: 1.157340e+00 -0.4195354
#> 12: 1.196926e+00 0.5337682
#> 13: 1.209707e+00 1.7311584
#> 14: 3.529692e-01 -1.1813391
#> 15: 2.816170e+00 6.4437855
#> 16: 1.401263e+00 1.0168970
#> 17: 1.327987e+00 0.8065693
#> 18: 9.507548e-01 -0.7724153
#> 19: 2.800850e-01 -0.9652756
#> 20: 3.757505e-01 -1.3774092
#> 21: 1.297396e+00 -0.3239794
#> 22: 9.780605e-01 -0.9618423
#> 23: 1.839668e-01 -1.0980930
#> 24: -2.284244e-01 -1.6953538
#> 25: NA NA
#> 26: NA NA
#> 27: 2.904116e+00 11.6588565
#> 28: 2.210633e+00 6.5758780
#> 29: 1.537537e+00 2.3768799
#> 30: 2.228271e+00 9.3082986
#> 31: 1.320622e+00 1.7397660
#> 32: 1.171759e+00 1.2772169
#> 33: 1.970219e+00 3.5225017
#> 34: 1.188657e+00 1.4823160
#> 35: 1.543861e+00 0.9973010
#> 36: 1.138082e+00 0.6679724
#> 37: 7.519567e-01 0.2093692
#> 38: 2.211101e+00 5.1257353
#> 39: 9.645585e-01 0.7892475
#> 40: 1.373334e+00 1.2086107
#> 41: 1.779517e+00 2.3609818
#> 42: 9.728921e-01 -0.1698843
#> 43: -9.170249e-02 -1.4314296
#> 44: 2.941909e-01 -1.4700960
#> 45: -2.468475e-01 -1.5748596
#> 46: 1.065480e+00 -0.2502699
#> 47: -4.122360e-01 -1.3069937
#> 48: -8.236812e-01 -1.2891641
#> 49: 1.107043e+00 0.3805447
#> 50: 2.466904e+00 4.5206378
#> 51: NA NA
#> 52: -4.533028e-13 -2.7500000
#> 53: 3.112158e-01 -2.3333333
#> fragmentEstimate_describe_skew fragmentEstimate_describe_kurtosis
#> fragmentEstimate_describe_se nIS
#> 1: 7.1952466279 15
#> 2: 1.4631824759 72
#> 3: 1.3750095083 76
#> 4: 1.3435884856 67
#> 5: 1.5691817431 26
#> 6: 0.2919620099 82
#> 7: 0.4642492918 41
#> 8: 0.2465910846 90
#> 9: 1.2346706770 11
#> 10: 4.4909549219 43
#> 11: 1.1653227353 10
#> 12: 0.4117321131 31
#> 13: 0.1976526781 77
#> 14: 0.5297928780 19
#> 15: 0.5446529515 13
#> 16: 0.4382486380 22
#> 17: 0.3130716475 29
#> 18: 0.7098736619 10
#> 19: 0.3589475809 20
#> 20: 0.2196470704 39
#> 21: 0.1491726757 32
#> 22: 0.2698076248 10
#> 23: 3.2419530711 78
#> 24: 0.0001536826 8
#> 25: NA 1
#> 26: NA 1
#> 27: 0.2981542158 48
#> 28: 0.2299485144 65
#> 29: 0.2361450154 74
#> 30: 0.2122025482 46
#> 31: 0.2770420812 48
#> 32: 0.2046911329 87
#> 33: 0.5625279552 12
#> 34: 0.2537296307 52
#> 35: 0.5139984901 35
#> 36: 1.0348937038 18
#> 37: 0.2018820919 52
#> 38: 0.1856077872 36
#> 39: 0.2927218410 20
#> 40: 0.3214422872 19
#> 41: 0.2193087193 24
#> 42: 0.2561526253 25
#> 43: 0.4568368515 9
#> 44: 0.2180848137 26
#> 45: 0.3683184518 10
#> 46: 2.1532305518 14
#> 47: 2.5936005456 8
#> 48: 0.2952383720 9
#> 49: 1.8726366147 12
#> 50: 0.0911340761 11
#> 51: NA 1
#> 52: 0.0002597739 2
#> 53: 0.0007729012 3
#> fragmentEstimate_describe_se nIS
#>