Identification of Human Lineage-Specific Transcriptional Coregulators Enabled by a Glossary of Binding Modules and Tunable Genomic Backgrounds.

Abstract

(Cell Systems 5, 187–201; September 27, 2017) Due to a Production error, an incorrect version of Table S4 was originally published online with this article. The AUROC values within the table were correct, but some were attributed to the wrong ChIP-seq dataset as several headings had been erroneously swapped. The correct version of Table S4 is now available online. We regret this error and apologize for any confusion that it has caused. Identification of Human Lineage-Specific Transcriptional Coregulators Enabled by a Glossary of Binding Modules and Tunable Genomic BackgroundsMariani et al.Cell SystemsSeptember 27, 2017In BriefMotif enrichment analysis of ChIP-seq data can elucidate the molecular mechanisms by which transcription factors regulate gene expression in a tissue-specific manner. In the current study, we created a glossary of the intrinsic DNA binding specificity of ∼40% of human TFs, developed a method to construct matched genomic background sequences, and showed that the combination of these two tools improves the identification of TF binding modes within regulatory regions. Full-Text PDF Open Archive