Package: bambu 3.7.0

Ying Chen

bambu: Context-Aware Transcript Quantification from Long Read RNA-Seq data

bambu is a R package for multi-sample transcript discovery and quantification using long read RNA-Seq data. You can use bambu after read alignment to obtain expression estimates for known and novel transcripts and genes. The output from bambu can directly be used for visualisation and downstream analysis such as differential gene expression or transcript usage.

Authors:Ying Chen [cre, aut], Andre Sim [aut], Yuk Kei Wan [aut], Jonathan Goeke [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/goekelab/bambu/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:bambu-3.7.0(bioc 3.20)bambu-3.6.0(bioc 3.19)

bioconductor-package

9 exports 1.45 score 86 dependencies 1 dependents

Last updated 2 months agofrom:65fb8df1a2

Exports:bambucompareTranscriptsplotBambuprepareAnnotationsreadFromGTFtrainBambutranscriptToGeneExpressionwriteBambuOutputwriteToGTF

Dependencies:abindAnnotationDbiaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemclicodetoolscpp11crayoncurldata.tableDBIDelayedArraydplyrfansifastmapformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigplogrpngpurrrR6RcppRcppArmadilloRCurlrestfulrRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorssnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrxgboostXMLXVectoryamlzlibbioc

Analysing Long Read RNA-Seq data with bambu

Rendered frombambu.Rmdusingknitr::rmarkdownon Jun 20 2024.

Last update: 2022-10-28
Started: 2020-04-30