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.
CITATION STYLE
Carlin, D., Kosnicki, K., Garamszegi, S., Ideker, T., Thorvaldsdóttir, H., Reich, M., & Mesirov, J. (2018). A multi-tool recipe to identify regions of protein-DNA binding and their influence on associated gene expression. F1000Research, 6. https://doi.org/10.12688/f1000research.11616.2
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