spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data

Kristoffer Vitting-Seerup; Bo Torben Porse; Albin Sandelin; Johannes Waage

doi:10.1186/1471-2105-15-81

spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data

Kristoffer Vitting-Seerup, Bo Torben Porse, Albin Sandelin, Johannes Waage

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

82 Citationer (Scopus)

3630 Downloads (Pure)

Abstract

RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential.

Originalsprog	Engelsk
Artikelnummer	81
Tidsskrift	B M C Bioinformatics
Vol/bind	15
Sider (fra-til)	1-7
Antal sider	7
ISSN	1471-2105
DOI	https://doi.org/10.1186/1471-2105-15-81
Status	Udgivet - 2014

Adgang til dokumentet

10.1186/1471-2105-15-81

spliceR...Forlagets udgivne version, 463 KB

Citationsformater

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abstract = "RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential.",

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