bambu
Context-Aware Transcript Quantification from Long Read RNA-Seq data
Bioconductor version: 3.23 · Package version: 3.14.0
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
| Maintainer | Ying Chen <chen_ying@gis.a-star.edu.sg> |
| Author | Ying Chen [cre, aut], Andre Sim [aut], Yuk Kei Wan [aut], Jonathan Goeke [aut] |
| License | GPL-3 + file LICENSE |
| URL | https://github.com/GoekeLab/bambu |
| Downloads rank | 555 |
| Source branch | RELEASE_3_23 |
| biocViews | Alignment, Coverage, DifferentialExpression, FeatureExtraction, GeneExpression, GenomeAnnotation, GenomeAssembly, ImmunoOncology, LongRead, MultipleComparison, Normalization, RNASeq, Regression, Sequencing, Software, Transcription, Transcriptomics |
Documentation
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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