Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

HOmo sapiens COmprehensive MOdel COllection HOCOMOCO


Contains transcription factor (TF) binding models obtained by careful integration of data from different sources. HOCOMOCO v10 contains non-redundant curated binding models for 601 human and 396 mouse TFs. The update is based on the analysis of massive ChIP-Seq and HT-SELEX datasets, with the validation of the resulting models on in vivo data. To facilitate a practical application, all HOCOMOCO models are linked to gene and protein databases (Entrez Gene, HGNC, UniProt) and accompanied by precomputed score thresholds. We provide command-line tools for position weight matrix (PWM) and diPWM threshold estimation and motif finding in nucleotide sequences. The HOCOMOCO website was fully redesigned to provide a system of interactive filters making it easier to browse the tables of the collection.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.


tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

HOCOMOCO classification

  • Animals
    • Homo sapiens
    • Mus musculus

HOCOMOCO specifications

Restrictions to use:

HOCOMOCO support


  • Ivan Kulakovskiy <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Laboratory of Bioinformatics and Systems Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia; Department of Computational Systems Biology, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center, Thuwal, Jeddah, Saudi Arabia; Yandex Data Analysis School, Data Analysis Department, Moscow Institute of Physics and Technology, Leo, Moscow, Russia; Department of Molecular and Biological Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow, Russia

Funding source(s)

Russian Foundation for Basic Research [15-34-20423]; Russian Foundation for Basic Research [14-04-01838]; Russian Science Foundation [14-50-00060]; Dynasty Foundation Fellowship; Russian Science Foundation [15-14-30002]; KAUST base research fund

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.