BioProspector

BioProspector identifies regulatory sequence motifs in upstream regions of genes that exhibit similar gene expression patterns using Gibbs sampling to reveal candidate regulatory elements.


Key Features:

  • Gibbs Sampling Strategy: Employs a Gibbs sampling approach to probabilistically model and iteratively refine motif predictions, effective for co-regulated genes in prokaryotes and lower eukaryotes.
  • C Implementation: Implemented as a C program for sequence scanning and motif discovery.
  • Markov Background Models: Uses zero- to third-order Markov background models and can estimate model parameters from a specified sequence file or accept provided parameters.
  • Motif Significance Assessment: Assesses motif significance via a motif score distribution derived through Monte Carlo methods to reduce false positives.
  • Advanced Motif Modeling: Models gapped motifs and palindromic patterns to capture a broader range of regulatory element architectures.
  • Comparative Genomics Integration: Can be complemented by CompareProspector to extend motif discovery to higher eukaryotes using comparative genomics.
  • Output Formats: Produces position-specific probability matrices and reports individual motif sites and their locations on input sequences.

Scientific Applications:

  • Transcription factor binding motif recovery: Demonstrated ability to recover binding motifs for Saccharomyces cerevisiae RAP1, Bacillus subtilis RNA polymerase, and Escherichia coli CRP.
  • Regulatory element discovery in co-expressed genes: Applied to upstream regions of genes with similar expression patterns to identify candidate regulatory elements underlying coordinated expression.
  • Comparative motif discovery: Extended to higher eukaryotes through integration with comparative genomics approaches (CompareProspector).

Methodology:

Computational methods explicitly include Gibbs sampling, zero- to third-order Markov background models (with parameter estimation from sequence files), Monte Carlo–derived motif score distributions, and modeling of gapped and palindromic motifs.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C
Added:
2/10/2017
Last Updated:
11/25/2024

Operations

Publications

Liu Y, Wei L, Batzoglou S, Brutlag DL, Liu JS, Liu XS. A suite of web-based programs to search for transcriptional regulatory motifs. Nucleic Acids Research. 2004;32(Web Server):W204-W207. doi:10.1093/nar/gkh461. PMID:15215381. PMCID:PMC441599.

Liu X, et al. BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes. Pac Symp Biocomput. 2001; (unknown volume):127-38.

PMID: 11262934

Documentation