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SNP-VISTA: An interactive SNP visualization tool |
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| Authors: | Nameeta?Shah,Michael?V?Teplitsky,Simon?Minovitsky,Len?A?Pennacchio,Philip?Hugenholtz,Bernd?Hamann,Inna?L?Dubchak author-information" > author-information__contact u-icon-before" > mailto:ildubchak@lbl.gov" title=" ildubchak@lbl.gov" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author |
| Affiliation: | (1) Department of Computer Science, Institute for Data Analysis and Visualization, (IDAV), University of California, Davis, One Shields Ave., Davis, CA 95616, USA;(2) Genomics Division, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA;(3) DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA |
| Abstract: | BackgroundRecent advances in sequencing technologies promise to provide a better understanding of the genetics of human disease as well as the evolution of microbial populations. Single Nucleotide Polymorphisms (SNPs) are established genetic markers that aid in the identification of loci affecting quantitative traits and/or disease in a wide variety of eukaryotic species. With today's technological capabilities, it has become possible to re-sequence a large set of appropriate candidate genes in individuals with a given disease in an attempt to identify causative mutations. In addition, SNPs have been used extensively in efforts to study the evolution of microbial populations, and the recent application of random shotgun sequencing to environmental samples enables more extensive SNP analysis of co-occurring and co-evolving microbial populations. The program is available at [1]. |
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