en
Scientific article
English

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

Published inBioinformatics, vol. 30, no. 2, p. 165-171
Publication date2014
Abstract

High-throughput sequencing technologies enable the genome-wide analysis of the impact of genetic variation on molecular phenotypes at unprecedented resolution. However, although powerful, these technologies can also introduce unexpected artifacts.

Keywords
  • Alleles
  • Binding Sites
  • Chromatin Immunoprecipitation/methods
  • Female
  • Gene Library
  • Genome, Human
  • Humans
  • Lymphocytes/cytology/metabolism
  • Male
  • Oligonucleotide Array Sequence Analysis/methods
  • Polymorphism, Single Nucleotide/genetics
  • RNA Polymerase II/genetics
Citation (ISO format)
WASZAK, Sebastian M et al. Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data. In: Bioinformatics, 2014, vol. 30, n° 2, p. 165–171. doi: 10.1093/bioinformatics/btt667
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Article (Published version)
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ISSN of the journal1367-4803
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