Package: IgGeneUsage 1.27.0

Simo Kitanovski

IgGeneUsage: Differential gene usage in immune repertoires

Detection of biases in the usage of immunoglobulin (Ig) genes is an important task in immune repertoire profiling. IgGeneUsage detects aberrant Ig gene usage between biological conditions using a probabilistic model which is analyzed computationally by Bayes inference. With this IgGeneUsage also avoids some common problems related to the current practice of null-hypothesis significance testing.

Authors:Simo Kitanovski [aut, cre]

IgGeneUsage_1.27.0.tar.gz
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IgGeneUsage_1.27.0.tgz(r-4.6-x86_64)IgGeneUsage_1.27.0.tgz(r-4.6-arm64)IgGeneUsage_1.27.0.tgz(r-4.5-x86_64)IgGeneUsage_1.27.0.tgz(r-4.5-arm64)
IgGeneUsage_1.27.0.tar.gz(r-4.7-arm64)IgGeneUsage_1.27.0.tar.gz(r-4.7-x86_64)IgGeneUsage_1.27.0.tar.gz(r-4.6-arm64)IgGeneUsage_1.27.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
IgGeneUsage/json (API)
NEWS

# Install 'IgGeneUsage' in R:
install.packages('IgGeneUsage', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/snaketron/iggeneusage/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • CDR3_Epitopes - Net charge usage in CDR3 sequences of T-cell receptor repertoires disturbed by Influenza-A and CMV
  • d_zibb_1 - Simulated Ig gene usage data
  • d_zibb_2 - Simulated Ig gene usage data
  • d_zibb_3 - Simulated Ig gene usage data
  • d_zibb_4 - Simulated Ig gene usage data
  • d_zibb_5 - Simulated Ig gene usage data
  • d_zibb_6 - Simulated Ig gene usage data
  • Ig - IGHV gene family usage in vaccine-challenged B-cell repertoires
  • Ig_SE - IGHV gene family usage in vaccine-challenged B-cell repertoires
  • IGHV_HCV - IGHV gene usage in HCV+ and healthy individuals

On BioConductor:IgGeneUsage-1.27.0(bioc 3.24)IgGeneUsage-1.26.0(bioc 3.23)

differentialexpressionregressiongeneticsbayesianbiomedicalinformaticsimmunooncologymathematicalbiologyb-cell-receptorbcr-repertoiredifferential-analysisdifferential-gene-expressionhigh-throughput-sequencingimmune-repertoireimmune-repertoire-analysisimmune-repertoiresimmunogenomicsimmunoglobulinimmunoinformaticsimmunological-bioinformaticsimmunologytcr-repertoirevdj-recombinationcpp

5.38 score 6 stars 1 scripts 332 downloads 2 exports 69 dependencies

Last updated from:a368ba5119. Checks:12 NOTE, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE435
linux-devel-arm64NOTE786
linux-devel-x86_64NOTE921
source / vignettesOK1029
linux-release-arm64NOTE809
linux-release-x86_64NOTE858
macos-release-arm64NOTE632
macos-release-x86_64NOTE1357
macos-oldrel-arm64NOTE561
macos-oldrel-x86_64NOTE1739
windows-develNOTE1367
windows-releaseNOTE1314
windows-oldrelNOTE1215
wasm-releaseFAIL173

Exports:DGULOO

Dependencies:abindbackportsBHBiobaseBiocGenericscallrcheckmateclicpp11DelayedArraydescdistributionaldplyrfarvergenericsGenomicRangesggplot2gluegridExtragtableinlineIRangesisobandlabelinglatticelifecycleloomagrittrMatrixMatrixGenericsmatrixStatsnumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS4ArraysS4VectorsS7scalesSeqinfoSparseArrayStanHeadersstringistringrSummarizedExperimenttensorAtibbletidyrtidyselectutf8vctrsviridisLitewithrXVector

User Manual: IgGeneUsage

Rendered fromUser_Manual.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2024-04-05
Started: 2022-10-17