MotifGenie

MotifGenie identifies transcription factor binding motifs in shared chromatin immunoprecipitation sequencing (ChIP-Seq) binding sites to enable integrative motif analysis across multiple ChIP-Seq experiments.


Key Features:

  • Simultaneous Analysis of Multiple Samples: Processes multiple ChIP-Seq samples concurrently to identify shared binding regions within specified genomic loci.
  • Integration with Cistrome and MACS 2.0: Leverages peak regions from the Cistrome database identified by MACS 2.0 to focus analysis on high-confidence binding sites.
  • Motif Search Using JASPAR: Scans shared binding regions for transcription factor motifs sourced from the JASPAR database.
  • Laboratory Validation: Methods and findings have been validated through laboratory experiments in collaboration with molecular biologists.
  • Implementation: Implemented in Python.

Scientific Applications:

  • Regulatory Mechanism Elucidation: Identifying shared TF binding motifs across datasets to elucidate gene regulatory mechanisms.
  • Cooperative Interaction Analysis: Characterizing cooperative interactions between transcription factors and chromatin-associated proteins.
  • Domain Applications: Applicable to developmental biology, cancer research, and systems biology studies focused on gene regulation.

Methodology:

Implemented in Python; processes multiple ChIP-Seq samples to identify shared binding regions, uses MACS 2.0 peak regions from the Cistrome database, and scans identified regions for motifs from the JASPAR database.

Topics

Details

Tool Type:
command-line tool, workflow
Programming Languages:
Python
Added:
10/11/2021
Last Updated:
10/11/2021

Operations

Publications

Oguztuzun C, Yasar P, Yavuz K, Muyan M, Can T. MotifGenie: a Python application for searching transcription factor binding sequences using ChIP-Seq datasets. Bioinformatics. 2021;37(22):4238-4239. doi:10.1093/bioinformatics/btab379. PMID:33999190.

PMID: 33999190
Funding: - Scientific and Technological Research Council of Turkey – Chemistry and Biology Research Support Group: 118Z957 - Middle East Technical University – Scientific Research Projects: 108-2021-10640

Links