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Bioconductor 3.22 Released

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pram

This is thereleased version of pram; for the devel version, seepram.

Pooling RNA-seq datasets for assembling transcript models

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DOI: 10.18129/B9.bioc.pram


Bioconductor version: Release (3.22)

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.

Author: Peng Liu [aut, cre], Colin N. Dewey [aut], Sündüz Keleş [aut]

Maintainer: Peng Liu <pliu55.wisc+bioconductor at gmail.com>

Citation (from within R, entercitation("pram")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pram")
Pooling RNA-seq and Assembling ModelsHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBiologicalQuestion,GenePrediction,GenomeAnnotation,RNASeq,ResearchField,Sequencing,Software,Technology,Transcriptomics
Version1.26.0
In Bioconductor sinceBioC 3.9 (R-3.6) (6.5 years)
LicenseGPL (>= 3)
DependsR (>= 3.6)
Importsmethods,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)
System Requirements
URLhttps://github.com/pliu55/pram
Bug Reportshttps://github.com/pliu55/pram/issues
See More
Suggeststestthat,BiocStyle,knitr,rmarkdown
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagepram_1.26.0.tar.gz
Windows Binary (x86_64) pram_1.26.0.zip
macOS Binary (x86_64)pram_1.26.0.tgz
macOS Binary (arm64)pram_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/pram
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/pram
Bioc Package Browserhttps://code.bioconductor.org/browse/pram/
Package Short Urlhttps://bioconductor.org/packages/pram/
Package Downloads ReportDownload Stats

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