Integrative database for exploiting published ChIP-seq data
Category
- 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
Documents
Presentation documents
- Kickoff Meeting (5.83 MB)
- Symposium of Database Togo (Integration) 2015 Poster presentation (2.9 MB)
- March 10, 2016: Final Report Meeting (3.7 MB)
