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Goldmine integrates information placing genomic ranges into meaningful biological contexts (2016)

Bhasin, J. M., Ting, A. H.

Oxford University Press

In: Nucleic Acids Research

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Publication Date: 2016-07-09

Description: Bioinformatic analysis often produces large sets of genomic ranges that can be difficult to interpret in the absence of genomic context. Goldmine annotates genomic ranges from any source with gene model and feature contexts to facilitate global descriptions and candidate loci discovery. We demonstrate the value of genomic context by using Goldmine to elucidate context dynamics in transcription factor binding and to reveal differentially methylated regions (DMRs) with context-specific functional correlations. The open source R package and documentation for Goldmine are available at http://jeffbhasin.github.io/goldmine .

Keywords: Computational Methods

Print ISSN: 0305-1048

Electronic ISSN: 1362-4962

Topics: Biology

Published by Oxford University Press

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