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.