Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities
Heidelberg University · University Hospital Heidelberg · +3 more institutions
Abstract
Gene regulation plays a critical role in the cellular processes that underlie human health and disease. The regulatory relationship between transcription factors (TFs), key regulators of gene expression, and their target genes, the so called TF regulons, can be coupled with computational algorithms to estimate the activity of TFs. However, to interpret these findings accurately, regulons of high reliability and coverage are needed. In this study, we present and evaluate a collection of regulons created using the CollecTRI meta-resource containing signed TF-gene interactions for 1186 TFs. In this context, we introduce a workflow to integrate information from multiple resources and assign the sign of regulation…
Citation impact
- FWCI
- 45.06
- Percentile
- 100%
- References
- 87
Authors
9- SMSophia Müller‐Dott
Heidelberg University, University Hospital Heidelberg
- ETEirini Tsirvouli
Norwegian University of Science and Technology
- MVMiguél Vázquez
Barcelona Supercomputing Center, Universitat Politècnica de Catalunya
- RORicardo O. Ramirez Flores
Heidelberg University, University Hospital Heidelberg
- PBPau Badia-i-Mompel
Heidelberg University, University Hospital Heidelberg
Topics & keywords
- Regulon
- Biology
- Transcription factor
- Computational biology
- Computer science
- Genetics
- Gene