Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression-Reference-Cited by-同舟云学术

Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression

Published:2018-02-12 Issue:13 Volume:34 Page:2177-2184
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Raghupathy Narayanan¹,Choi Kwangbom¹,Vincent Matthew J¹,Beane Glen L¹,Sheppard Keith S¹,Munger Steven C¹,Korstanje Ron¹,Pardo-Manual de Villena Fernando²,Churchill Gary A¹

Affiliation:

1. The Jackson Laboratory, Bar Harbor, USA

2. Department of Genetics, The University of North Carolina, Chapel Hill, USA

Funder

National Institute of General Medical Sciences

NIGMS

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/34/13/2177/25097987/bty078.pdf

Reference30 articles.

1. PRDM9 drives evolutionary erosion of hotspots in Mus musculus through haplotype-specific initiation of meiotic recombination;Baker;PLoS Genet,2015

2. Near-optimal probabilistic RNA-seq quantification;Bray;Nat. Biotechnol,2016

3. Tools and best practices for data processing in allelic expression analysis;Castel;Genome Biol,2015

4. Defining the consequences of genetic variation on a proteome-wide scale;Chick;Nature,2016

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