HOCOMOCO: A comprehensive collection of human transcription factor binding sites models
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ArticleAuthors
Kulakovskiy, Ivan V.Medvedeva, Yulia
Schaefer, Ulf
Kasianov, Artem S.
Vorontsov, Ilya E.
Bajic, Vladimir B.
Makeev, Vsevolod J.
KAUST Department
Applied Mathematics and Computational Science ProgramComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2012-11-21Permanent link to this record
http://hdl.handle.net/10754/325453Metadata
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Transcription factor (TF) binding site (TFBS) models are crucial for computational reconstruction of transcription regulatory networks. In existing repositories, a TF often has several models (also called binding profiles or motifs), obtained from different experimental data. Having a single TFBS model for a TF is more pragmatic for practical applications. We show that integration of TFBS data from various types of experiments into a single model typically results in the improved model quality probably due to partial correction of source specific technique bias. We present the Homo sapiens comprehensive model collection (HOCOMOCO, http://autosome.ru/HOCOMOCO/, http://cbrc.kaust.edu.sa/ hocomoco/) containing carefully hand-curated TFBS models constructed by integration of binding sequences obtained by both low- and high-throughput methods. To construct position weight matrices to represent these TFBS models, we used ChIPMunk software in four computational modes, including newly developed periodic positional prior mode associated with DNA helix pitch. We selected only one TFBS model per TF, unless there was a clear experimental evidence for two rather distinct TFBS models. We assigned a quality rating to each model. HOCOMOCO contains 426 systematically curated TFBS models for 401 human TFs, where 172 models are based on more than one data source. The Author(s) 2012.Citation
Kulakovskiy IV, Medvedeva YA, Schaefer U, Kasianov AS, Vorontsov IE, et al. (2012) HOCOMOCO: a comprehensive collection of human transcription factor binding sites models. Nucleic Acids Research 41: D195-D202. doi:10.1093/nar/gks1089.Publisher
Oxford University Press (OUP)Journal
Nucleic Acids ResearchISSN
03051048PubMed ID
23175603PubMed Central ID
PMC3531053Scopus Count
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