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SplicingCompass: differential splicing detection using RNA-Seq data

Abstract. Motivation: Alternative splicing is central for cellular processes and substantially increases transcriptome and proteome diversity. Aberrant splicing events often have pathological consequences and are associated with various diseases and cancer types. The emergence of next-generation RN...

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Bibliographische Detailangaben
Hauptverfasser: Aschoff, Moritz (VerfasserIn) , Hotz-Wagenblatt, Agnes (VerfasserIn) , Glatting, Karl-Heinz (VerfasserIn) , Fischer, Matthias (VerfasserIn) , Eils, Roland (VerfasserIn) , König, Rainer (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 28 February 2013
In: Bioinformatics
Year: 2013, Jahrgang: 29, Heft: 9, Pages: 1141-1148
ISSN:1367-4811
DOI:10.1093/bioinformatics/btt101
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btt101
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/bioinformatics/article/29/9/1141/217510
Volltext
Verfasserangaben:Moritz Aschoff, Agnes Hotz-Wagenblatt, Karl-Heinz Glatting, Matthias Fischer, Roland Eils and Rainer König
Beschreibung
Zusammenfassung:Abstract. Motivation: Alternative splicing is central for cellular processes and substantially increases transcriptome and proteome diversity. Aberrant splicing events often have pathological consequences and are associated with various diseases and cancer types. The emergence of next-generation RNA sequencing (RNA-seq) provides an exciting new technology to analyse alternative splicing on a large scale. However, algorithms that enable the analysis of alternative splicing from short-read sequencing are not fully established yet and there are still no standard solutions available for a variety of data analysis tasks.
Beschreibung:Gesehen am 26.10.2020
Beschreibung:Online Resource
ISSN:1367-4811
DOI:10.1093/bioinformatics/btt101

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