SGSeq: Splice event prediction and quantification from RNA-seq data
Version 1.10.0

SGSeq is a software package for analyzing splice events from RNA-seq data. Input data are RNA-seq reads mapped to a reference genome in BAM format. Genes are represented as a splice graph, which can be obtained from existing annotation or predicted from the mapped sequence reads. Splice events are identified from the graph and are quantified locally using structurally compatible reads at the start or end of each splice variant. The software includes functions for splice event prediction, quantification, visualization and interpretation.

Package details

AuthorLeonard Goldstein
Bioconductor views AlternativeSplicing RNASeq Transcription
MaintainerLeonard Goldstein <goldstel@gene.com>
LicenseArtistic-2.0
Version1.10.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("SGSeq")

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SGSeq documentation built on May 31, 2017, 2:56 p.m.