PMID:14962923
| Citation |
Jensen, ST and Liu, JS (2004) BioOptimizer: a Bayesian scoring function approach to motif discovery. Bioinformatics 20:1557-64 |
|---|---|
| Abstract |
Transcription factors (TFs) bind directly to short segments on the genome, often within hundreds to thousands of base pairs upstream of gene transcription start sites, to regulate gene expression. The experimental determination of TFs binding sites is expensive and time-consuming. Many motif-finding programs have been developed, but no program is clearly superior in all situations. Practitioners often find it difficult to judge which of the motifs predicted by these algorithms are more likely to be biologically relevant. |
| Links |
PubMed Online version:10.1093/bioinformatics/bth127 |
| Keywords |
Algorithms; Amino Acid Motifs; Bayes Theorem; Binding Sites; DNA/chemistry; Protein Binding; Sequence Alignment/methods; Sequence Analysis, DNA/methods; Software; Transcription Factors/chemistry |
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