HOCOMOCO

HOCOMOCO provides a comprehensive collection of DNA-binding specificity models for human and mouse transcription factors to support analysis of transcriptional regulation.


Key Features:

  • Extensive database: HOCOMOCO v11 contains 680 human and 453 mouse transcription factor binding models represented as position weight matrices (PWMs).
  • Mononucleotide and dinucleotide models: The collection includes 1,302 mononucleotide PWMs and 576 dinucleotide PWMs to capture primary and alternative binding specificities.
  • Data-driven updates from ChIP-Seq: Models were derived and refined using data from over five thousand ChIP-Seq experiments, replacing models based solely on in vitro data.
  • Processing and aggregation: ChIP-Seq experiments were processed within the BioUML framework and aggregated in the Genome Transcription Regulation Database (GTRD).
  • Complementary motif tools: MoLoTool (Motif Location Toolbox) uses HOCOMOCO models to visualize predicted binding sites in short DNA sequences.

Scientific Applications:

  • Transcriptional regulation studies: Use HOCOMOCO PWMs to investigate transcription factor binding preferences and their role in gene regulation.
  • Genomic annotation and analysis: Annotate genomic sequences with potential transcription factor binding sites for functional genomics analyses.
  • Comparative genomics: Compare human and mouse transcription factor binding models to support cross-species regulatory and evolutionary studies.

Methodology:

Systematic motif discovery from over five thousand ChIP-Seq experiments processed uniformly within BioUML using multiple peak-calling tools and aggregated in GTRD.

Topics

Details

Maturity:
Mature
Tool Type:
web application
Added:
9/19/2022
Last Updated:
11/24/2024

Operations

Publications

Kulakovskiy IV, Vorontsov IE, Yevshin IS, Sharipov RN, Fedorova AD, Rumynskiy EI, Medvedeva YA, Magana-Mora A, Bajic VB, Papatsenko DA, Kolpakov FA, Makeev VJ. HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis. Nucleic Acids Research. 2017;46(D1):D252-D259. doi:10.1093/nar/gkx1106. PMID:29140464. PMCID:PMC5753240.

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