RcisTarget

RcisTarget identifies transcription factor binding motifs that are significantly over-represented near transcription start sites (TSS) in a user-defined gene list using a database of genome-wide cross-species motif rankings.


Key Features:

  • Motif Identification: Detects DNA motifs significantly over-represented around transcription start sites (TSS) within a provided gene set.
  • Cross-Species Analysis: Uses a database of genome-wide cross-species motif rankings to enable comparative identification of conserved regulatory motifs.
  • Integration with SCENIC Framework: Supports integration with SCENIC (Single-Cell Regulatory Network Inference and Clustering) workflows and single-cell RNA-seq analyses for regulatory network inference and cell-state identification.

Scientific Applications:

  • Gene Regulation Studies: Pinpoints transcription factor binding sites (TFBS) that may contribute to gene expression regulation.
  • Comparative Genomics: Identifies conserved regulatory motifs across species using cross-species motif rankings.
  • Transcription Factor Identification: Suggests candidate transcription factors associated with over-represented motifs near TSS in specific biological processes or disease contexts.

Methodology:

Selects DNA motifs enriched around TSS from a user-defined gene list by utilizing a specialized database of genome-wide cross-species motif rankings, performing statistical analyses to determine significant over-representation of motifs, and providing outputs that highlight key TFBS.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
7/14/2018
Last Updated:
11/25/2024

Operations

Publications

Aibar S, González-Blas CB, Moerman T, Huynh-Thu VA, Imrichova H, Hulselmans G, Rambow F, Marine J, Geurts P, Aerts J, van den Oord J, Atak ZK, Wouters J, Aerts S. SCENIC: single-cell regulatory network inference and clustering. Nature Methods. 2017;14(11):1083-1086. doi:10.1038/nmeth.4463. PMID:28991892. PMCID:PMC5937676.

Documentation

Downloads

Links