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pram

Pooling RNA-seq datasets for assembling transcript models

Bioconductor version: 3.23 · Package version: 1.28.0

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3.24 (devel), 3.23 (release)

Publicly available RNA-seq data is routinely used for retrospective analysis to elucidate new biology. Novel transcript discovery enabled by large collections of RNA-seq datasets has emerged as one of such analysis. To increase the power of transcript discovery from large collections of RNA-seq datasets, we developed a new R package named Pooling RNA-seq and Assembling Models (PRAM), which builds transcript models in intergenic regions from pooled RNA-seq datasets. This package includes functions for defining intergenic regions, extracting and pooling related RNA-seq alignments, predicting, selected, and evaluating transcript models.

DOI: 10.18129/B9.bioc.pram

Installation

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

BiocManager::install("pram")

Details

MaintainerPeng Liu <pliu55.wisc+bioconductor@gmail.com>
AuthorPeng Liu [aut, cre], Colin N. Dewey [aut], Sündüz Keleş [aut]
LicenseGPL (>= 3)
URLhttps://github.com/pliu55/pram
Bug Reportshttps://github.com/pliu55/pram/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsBiologicalQuestion, GenePrediction, GenomeAnnotation, RNASeq, ResearchField, Sequencing, Software, Technology, Transcriptomics
Package Short Url https://bioconductor.org/packages/pram/

Citation

From within R, enter citation("pram"):

Peng Liu, Colin N. Dewey, Sündüz Keleş. pram: Pooling RNA-seq datasets for assembling transcript models. doi:10.18129/B9.bioc.pram, R package version 1.28.0, https://bioconductor.org/packages/pram.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

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

Source packagepram_1.28.0.tar.gz
Windows binary (x86_64)pram_1.28.0.zip
macOS binary (arm64)pram_1.28.0.tgz
macOS binary (x86_64)pram_1.28.0.tgz
Dependencies

Depends: R (>= 3.6)

Imports: methods, BiocParallel, tools, utils, data.table (>= 1.11.8), GenomicAlignments (>= 1.16.0), rtracklayer (>= 1.40.6), BiocGenerics (>= 0.26.0), Seqinfo, GenomicRanges (>= 1.32.0), IRanges (>= 2.14.12), Rsamtools (>= 1.32.3), S4Vectors (>= 0.18.3)

Suggests: testthat, BiocStyle, knitr, rmarkdown