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Dataset Information

Expression-based segmentation of the Drosophila genome.


ABSTRACT:

Background

It is generally accepted that gene order in eukaryotes is nonrandom, with adjacent genes often sharing expression patterns across tissues, and that this organization may be important for gene regulation. Here we describe a novel method, based on an explicit probability model instead of correlation analysis, for identifying coordinately expressed gene clusters ('coexpression segments'), apply it to Drosophila melanogaster, and look for epigenetic associations using publicly available data.

Results

We find that two-thirds of Drosophila genes fall into multigenic coexpression segments, and that such segments are of two main types, housekeeping and tissue-restricted. Consistent with correlation-based studies, we find that adjacent genes within the same segment tend to

SUBMITTER: Rubin AF 

PROVIDER: S-EPMC3909303 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature