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
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| Journal | F1000Res
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| Volume | 6
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| Pages | 784
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| Date Published | 2017
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| ISSN | 2046-1402
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| DOI | 10.12688/f1000research.11616.2
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| PubMed ID | 29487738
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| PubMed Central ID | PMC5806050
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| 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
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