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SpliceLauncher: a tool for detection, annotation and relative quantification of alternative junctions from RNAseq data
Author(s) -
Raphaël Leman,
Valentin Harter,
Alexandre Atkinson,
Grégoire Davy,
Antoine Rousselin,
Etienne Müller,
Laurent Castéra,
Frédéric Lemoine,
Pierre de la Grange,
Marine Guillaud-Bataille,
Dominique Vaur,
Sophie Krieger
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz784
Subject(s) - annotation , rna splicing , context (archaeology) , splice , alternative splicing , computer science , computational biology , open source , process (computing) , data mining , data science , biology , software , gene , artificial intelligence , genetics , programming language , messenger rna , paleontology , rna
Alternative splicing is an important biological process widely analyzed in molecular diagnostic settings. Indeed, a variant can be pathogenic by splicing alteration and a suspected pathogenic variant (e.g. truncating variant) can be rescued by splicing. In this context, detecting and quantifying alternative splicing is challenging. We developed SpliceLauncher, a fast and easy to use open source tool that aims at detecting, annotating and quantifying alternative splice junctions at high resolution.

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