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.