WeederH

WeederH identifies conserved transcription factor binding sites (TFBS) within genomic sequences by comparing homologous sequences using an alignment-free, relative-conservation approach.


Key Features:

  • Alignment-Free Approach: Operates without sequence alignment to detect conserved sites across homologous sequences.
  • Relative Measure of Conservation: Uses a relative conservation measure that assumes functional elements such as TFBS are more conserved than surrounding non-functional regions.
  • Homologous Sequence Comparison: Leverages analysis of homologous gene sequences to pinpoint conserved regulatory regions.
  • Application Across Genomic Regions: Detects conserved TFBS in promoters and distal regulatory regions such as enhancers.
  • Independence from Binding Specificity Descriptors: Identifies sites without relying on known transcription factor binding specificity descriptors.
  • Performance and Reliability: Empirical tests report fast and reliable predictions, with robustness when promoter annotations are absent or regulatory elements are distant from genes.

Scientific Applications:

  • Gene Regulation Studies: Identification of conserved TFBS to investigate mechanisms of gene regulation across species.
  • Functional Genomics: Detection of conserved sites in promoters and enhancers to support elucidation of regulatory networks.
  • Evolutionary Biology: Analysis of evolutionary conservation of regulatory elements to inform studies of gene expression conservation across species.

Methodology:

Adapts a previously introduced framework for discovering sites in sequences from co-regulated genes by comparing a given sequence to its homologs, applying an alignment-free relative-conservation measure to identify regions with higher conservation indicative of functional significance, and operating without using known transcription factor binding specificity descriptors.

Topics

Collections

Details

License:
GPL-3.0
Maturity:
Mature
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
C
Added:
1/22/2015
Last Updated:
11/25/2024

Operations

Publications

Pavesi G, Zambelli F, Pesole G. WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences. BMC Bioinformatics. 2007;8(1). doi:10.1186/1471-2105-8-46. PMID:17286865. PMCID:PMC1803799.

Documentation