Name
Title | ||
|---|---|---|
Ymf: A Program For Discovery Of Novel Transcription Factor Binding Sites By Statistical Overrepresentation |
Abstract | ||
|---|---|---|
A fundamental challenge facing biologists is to identify DNA binding sites for unknown regulatory factors, given a collection of genes believed to be coregulated. The program YMF identifies good candidates for such binding sites by searching for statistically overrepresented motifs. More specifically, YMF enumerates all motifs in the search space and is guaranteed to produce those motifs with greatest z-scores. This note describes the YMF web software, available at http://bio.cs.washington.edu/software.html. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1093/nar/gkg618 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
description,local search,gene family,search space,gibbs sampling,global optimization,algorithms,binding sites,expectation maximization,transcription factors,binding site,standard deviation,internet,transcription factor,transcription factor binding site | Gene,Binding site,Biology,DNA binding site,DNA,Saccharomyces cerevisiae,Genetics,Molecular biology,Transcription factor | Journal |
Volume | Issue | ISSN |
31 | 13 | 0305-1048 |
Citations | PageRank | References |
98 | 5.24 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saurabh Sinha | 1 | 529 | 48.96 |
| Martin Tompa | 2 | 1103 | 149.69 |