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Dataset Information

Sequence homology in eukaryotes (SHOE): interactive visual tool for promoter analysis.


ABSTRACT:

Background

Microarray and DNA-sequencing based technologies continue to produce enormous amounts of data on gene expression. This data has great potential to illuminate our understanding of biology and medicine, but the data alone is of limited value without computational tools to allow human investigators to visualize and interpret it in the context of their problem of interest.

Results

We created a web server called SHOE that provides an interactive, visual presentation of the available evidence of transcriptional regulation and gene co-expression to facilitate its exploration and interpretation. SHOE predicts the likely transcription factor binding sites in orthologous promoters of humans, mice, and rats using the combined information of 1) transcription factor binding pr

SUBMITTER: Polouliakh N 

PROVIDER: S-EPMC6161448 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature