Integrative database for exploiting published ChIP-seq data


  • Completed
  • DICP Tool Prototype Trial for Integrated Database Analysis
  • Projects funded in FY 2015

Name and affiliation of Research Director

OKI Shinya

Assistant Professor, Graduate School of Medical Sciences, Kyushu University

Outline of R&D

In this project, all of the ChIP-seq raw data deposited in public databases (approx. 30,000 experimental data) will be processed to produce peak-call and coverage data. These data assembly will be visualized on a free genome browser (IGV), graphically showing binding evidence of proteins to any given loci in multiple cell types. Furhter analysises will be performed to predict genes regulated by given transcription factors (TFs) and novel TF-TF complexes colocalizing on multiple genomic loci.

Main database(s) subject to research and development

Period of research and development

May 2015 to March 2016

DocumentsOnly in Japanese

Presentation documents


EvaluationOnly in Japanese

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