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bambu

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

Bioconductor version: 3.24 · Package version: 3.15.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("bambu")

Details

MaintainerYing Chen <chen_ying@gis.a-star.edu.sg>
AuthorYing Chen [cre, aut], Andre Sim [aut], Yuk Kei Wan [aut], Jonathan Goeke [aut]
LicenseGPL-3 + file LICENSE
URLhttps://github.com/GoekeLab/bambu
Downloads rank756
Source branchdevel
biocViewsAlignment, Coverage, DifferentialExpression, FeatureExtraction, GeneExpression, GenomeAnnotation, GenomeAssembly, ImmunoOncology, LongRead, MultipleComparison, Normalization, RNASeq, Regression, Sequencing, Software, Transcription, Transcriptomics

Download

Follow the installation instructions to use this package in your R session.

Source packagebambu_3.15.0.tar.gz
Windows binary (x86_64)bambu_3.15.0.zip
macOS binary (arm64)bambu_3.15.0.tgz
macOS binary (x86_64)bambu_3.15.0.tgz
Dependencies

Depends: R (>= 4.1), SummarizedExperiment (>= 1.1.6), S4Vectors (>= 0.22.1), BSgenome, IRanges

Imports: BiocGenerics, BiocParallel, data.table, dplyr, tidyr, GenomeInfoDb, GenomicAlignments, GenomicFeatures, GenomicRanges, stats, Rsamtools, methods, Rcpp, xgboost

LinkingTo: Rcpp, RcppArmadillo

Suggests: AnnotationDbi, Biostrings, rmarkdown, BiocFileCache, ggplot2, ComplexHeatmap, circlize, ggbio, gridExtra, knitr, testthat, BSgenome.Hsapiens.NCBI.GRCh38, TxDb.Hsapiens.UCSC.hg38.knownGene, ExperimentHub (>= 1.15.3), DESeq2, NanoporeRNASeq, purrr, apeglm, utils, DEXSeq

Enhances: parallel

Reverse dependencies

Imports Me (1): FLAMES

Suggests Me (1): NanoporeRNASeq