Outlier detection for improved differential splicing quantification from RNA-Seq experiments with replicates-Reference-Cited by-同舟云学术

Outlier detection for improved differential splicing quantification from RNA-Seq experiments with replicates

Published:2017-12-11 Issue:9 Volume:34 Page:1488-1497
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Norton Scott S¹,Vaquero-Garcia Jorge¹²,Lahens Nicholas F³,Grant Gregory R¹³,Barash Yoseph¹²^ORCID

Affiliation:

1. Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

2. Department of Computer and Information Science, School of Engineering, University of Pennsylvania, Philadelphia, PA, USA

3. Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

Funder

Penn Institute for Biomedical Informatics Pilot

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/9/1488/25417002/btx790.pdf

Reference25 articles.

1. Detecting differential usage of exons from rna-seq data;Anders;Genome Res,2012

2. Deciphering the splicing code;Barash;Nature,2010

3. AVISPA: a web tool for the prediction and analysis of alternative splicing;Barash;Genome Biol,2013

4. A survey of best practices for RNA-seq data analysis;Conesa;Genome Biol,2016

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