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Regulatory element detection using correlation with expression
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DOI：10.1038/84792.png)
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摘要
En 中文
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.
Keyword:
YEAST SACCHAROMYCES-CEREVISIAE
GENE-EXPRESSION
TRANSCRIPTIONAL ACTIVATOR
CELL-CYCLE
GENOME
PATTERNS
SEQUENCE
PROTEIN
HYBRIDIZATION
MICROARRAY
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期刊
IF:
40
论文数:
1.0W
被引数:
10.5W
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引用论文
Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation.png)
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