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Title

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

Authors
Waszak, Sebastian M
Gschwind, Andreas R
Orioli, Andrea
Raghav, Sunil K
Witwicki, Robert M
Migliavacca, Eugenia
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Published in Bioinformatics. 2014, vol. 30, no. 2, p. 165-171
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 AllelesBinding SitesChromatin Immunoprecipitation/methodsFemaleGene LibraryGenome, HumanHumansLymphocytes/cytology/metabolismMaleOligonucleotide Array Sequence Analysis/methodsPolymorphism, Single Nucleotide/geneticsRNA Polymerase II/genetics
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PMID: 24255646
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Article (Published version) (5.3 MB) - document accessible for UNIGE members only Limited access to UNIGE
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Research group Population Genomics and Genetics of Complex Traits (892)
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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. https://archive-ouverte.unige.ch/unige:90277

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Deposited on : 2016-12-13

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