A multi-tool recipe to identify regions of protein-DNA binding and their influence on associated gene expression.

F1000Res
Authors
Abstract

One commonly performed bioinformatics task is to infer functional regulation of transcription factors by observing differential expression under a knockout, and integrating DNA binding information of that transcription factor.   However, until now, this task has required dedicated bioinformatics support to perform the necessary data integration. GenomeSpace provides a protocol, or "recipe", and a user interface with inter-operating software tools to identify protein occupancies along the genome from a ChIP-seq experiment and associated differentially regulated genes from a RNA-Seq experiment. By integrating RNA-Seq and ChIP-seq analyses, a user is easily able to associate differing expression phenotypes with changing epigenetic landscapes.

Year of Publication
2017
Journal
F1000Res
Volume
6
Pages
784
Date Published
2017
ISSN
2046-1402
DOI
10.12688/f1000research.11616.2
PubMed ID
29487738
PubMed Central ID
PMC5806050
Links
Grant list
P41 GM103504 / GM / NIGMS NIH HHS / United States
R01 GM074024 / GM / NIGMS NIH HHS / United States
U24 CA194107 / CA / NCI NIH HHS / United States
U41 HG007517 / HG / NHGRI NIH HHS / United States