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