A multi-tool recipe to identify regions of protein-DNA binding and their influence on associated gene expression [version 2; referees: 2 approved]

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 sup...

Full description

Bibliographic Details
Main Authors: Daniel Carlin, Kassi Kosnicki, Sara Garamszegi, Trey Ideker, Helga Thorvaldsdóttir, Michael Reich, Jill Mesirov
Format: Article
Language:English
Published: F1000 Research Ltd 2018-01-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/6-784/v2
Description
Summary: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.
ISSN:2046-1402