VIZ-GRAIL: Visualizing functional connections across disease loci

Soumya Raychaudhuri

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Motivation: As disease loci are rapidly discovered, an emerging challenge is to identify common pathways and biological functionality across loci. Such pathways might point to potential disease mechanisms. One strategy is to look for functionally related or interacting genes across genetic loci. Previously, we defined a statistical strategy, Gene Relationships Across Implicated Loci (GRAIL), to identify whether pair-wise gene relationships defined using PubMed text similarity are enriched across loci. Here, we have implemented VIZ-GRAIL, a software tool to display those relationships and to depict the underlying biological patterns. Results: Our tool can seamlessly interact with the GRAIL web site to obtain the results of analyses and create easy to read visual displays. To most clearly display results, VIZ-GRAIL arranges genes and genetic loci to minimize intersecting pair-wise gene connections. VIZ-GRAIL can be easily applied to other types of functional connections, beyond those from GRAIL. This method should help investigators appreciate the presence of potentially important common functions across loci. © The Author 2011. Published by Oxford University Press. All rights reserved.
    Original languageEnglish
    Article numberbtr185
    Pages (from-to)1589-1590
    Number of pages1
    JournalBioinformatics
    Volume27
    Issue number11
    DOIs
    Publication statusPublished - Jun 2011

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