ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events

Abstract Background While the reconstruction of transcripts from a sample of RNA-Seq data is a computationally expensive and complicated task, the detection of splicing events from RNA-Seq data and a gene annotation is computationally feasible. This latter task, which is adequate for many transcript...

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Bibliographic Details
Main Authors: Luca Denti, Raffaella Rizzi, Stefano Beretta, Gianluca Della Vedova, Marco Previtali, Paola Bonizzoni
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-018-2436-3