ProSampler
ProSampler discovers transcription factor (TF) binding motifs and cooperative motifs from large ChIP-seq datasets to support mapping of cis-regulatory elements.
Key Features:
- Ultra-Fast Performance: Operates significantly faster than existing motif-finding tools, achieving orders-of-magnitude speed improvements for large ChIP-seq datasets.
- High Accuracy: Employs a novel numeration technique combined with the Gibbs sampling algorithm to accurately identify motifs associated with target TFs and their cooperative partners.
- Combinatory Motif Discovery: Detects cooperative interactions among multiple transcription factors in addition to individual TF binding sites.
- Implementation: Implemented in C++ and compatible with Linux, macOS, and Windows.
Scientific Applications:
- Motif discovery in ChIP-seq: Identification of TF binding sites and cooperative motifs from ChIP-seq datasets.
- Regulatory element mapping: Mapping cis-regulatory elements and TF interactions to study transcriptional regulation.
- Genomics and systems biology: Supporting analyses in genomics, epigenetics, and systems biology that require comprehensive motif identification.
Methodology:
Combines a novel numeration technique with Gibbs sampling to perform motif discovery on large ChIP-seq datasets.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 8/9/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Li Y, Ni P, Zhang S, Li G, Su Z. ProSampler: an ultrafast and accurate motif finder in large ChIP-seq datasets for combinatory motif discovery. Bioinformatics. 2019;35(22):4632-4639. doi:10.1093/bioinformatics/btz290. PMID:31070745. PMCID:PMC6853706.
PMID: 31070745
PMCID: PMC6853706
Funding: - National Science Foundation: DBI-1661332
- NIH: R01GM106013
- National Natural Science Foundation of China: 61572358
- Natural Science Foundation of Tianjin Science and Technology Committee: 16JCYBJC23600
- National Science Foundation of China: 31571354, 61432010, 61771009
Documentation
Links
Issue tracker
https://github.com/zhengchangsulab/prosampler/issues