| | |  | | | | Record from Web of Science® | | | | | | |
| Regulatory element detection using correlation with expression |
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| Author(s): Bussemaker HJ, Li H, Siggia ED |
| Source: NATURE GENETICS Volume: 27 Issue: 2 Pages: 167-171 Published: FEB 2001 |
| Times Cited: 348 References: 25 |
| Abstract: We present here a new computational method for discovering cis-regulatory elements that circumvents the need to cluster genes based on their expression profiles. Based on a model in which upstream motifs contribute additively to the log-expression level of a gene, this method requires a single genome-wide set of expression ratios and the upstream sequence for each gene, and outputs statistically significant motifs. Analysis of publicly available expression data for Saccharomyces cerevisiae reveals several new putative regulatory elements, some of which plausibly control the early, transient induction of genes during sporulation. Known motifs generally have high statistical significance. |
| Document Type: Article |
| Language: English |
| Reprint Address: Bussemaker, HJ (reprint author), Univ Amsterdam, Amsterdam Ctr Computat Sci, Swammerdam Inst Life Sci, Kruislaan 403, Amsterdam, Netherlands |
Addresses:
1. Rockefeller Univ, Ctr Studies Phys & Biol, New York, NY 10021 USA |
| Publisher: NATURE AMERICA INC, 345 PARK AVE SOUTH, NEW YORK, NY 10010-1707 USA |
| Subject Category: Genetics & Heredity |
| IDS Number: 399XH |
| ISSN: 1061-4036 |
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| | | | | | | | | Record from Web of Science® | | | | | | | | | |