Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data-Reference-Cited by-同舟云学术

Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data

Published:2013-11-18 Issue:2 Volume:30 Page:165-171
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Waszak Sebastian M.,Kilpinen Helena,Gschwind Andreas R.,Orioli Andrea,Raghav Sunil K.,Witwicki Robert M.,Migliavacca Eugenia,Yurovsky Alisa,Lappalainen Tuuli,Hernandez Nouria,Reymond Alexandre,Dermitzakis Emmanouil T.,Deplancke Bart

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/30/2/165/17147979/btt667.pdf

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2. Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries;Aird;Genome Biol.,2011

3. Systematic evaluation of factors influencing ChIP-seq fidelity;Chen;Nat. Methods,2012

4. Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data;Degner;Bioinformatics,2009

5. DNaseI sensitivity QTLs are a major determinant of human expression variation;Degner;Nature,2012

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