WGAViewer: Software for genomic annotation of whole genome association studies
作者： D. Ge , K. Zhang , A. C. Need , O. Martin , J. Fellay
关键词: Genetics 、 Interface (Java) 、 Computational biology 、 Genetic association 、 Genome 、 Association (object-oriented programming) 、 Biology 、 Set (psychology) 、 Genomics 、 Software 、 Annotation
摘要: To meet the immediate need for a framework of post-whole genome association (WGA) annotation, we have developed WGAViewer, suite JAVA software tools that provides user-friendly interface to automatically annotate, visualize, and interpret set P-values emerging from WGA study. Most valuably, it can be used highlight possible functional mechanisms in an automatic manner, example, by directly or indirectly implicating polymorphism with apparent link gene expression, help generate hypotheses concerning biological bases observed associations. The easily interpretable diagrams then identify associations seem most likely biologically relevant, select genomic regions may resequenced search candidate causal variants. In this report, our recently completed study on host control HIV-1 viral load during asymptomatic point period as illustration heuristic annotation its contributive role successful project.
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