StereoGene: rapid estimation of genome-wide correlation of continuous or interval feature data | Zendy

Elena Stavrovskaya | Zendy; Tejasvi Niranjan | Zendy; Elana J. Fertig | Zendy; Sarah J. Wheelan | Zendy; Alexander V. Favorov | Zendy; Andrey A. Mironov | Zendy

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StereoGene: rapid estimation of genome-wide correlation of continuous or interval feature data

Author(s) -

Elena Stavrovskaya,

Tejasvi Niranjan,

Elana J. Fertig,

Sarah J. Wheelan,

Alexander V. Favorov,

Andrey A. Mironov

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx379

Subject(s) - genome , epigenomics , computational biology , correlation , genomics , computer science , genome browser , biology , epigenome , data mining , genetics , dna methylation , mathematics , gene , gene expression , geometry

Genomics features with similar genome-wide distributions are generally hypothesized to be functionally related, for example, colocalization of histones and transcription start sites indicate chromatin regulation of transcription factor activity. Therefore, statistical algorithms to perform spatial, genome-wide correlation among genomic features are required.

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