SNP-VISTA: An Interactive SNPs Visualization Tool

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Recent advances in sequencing technologies promise better diagnostics for many diseases as well as better understanding of 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 is possible to re-sequence a large set of appropriate candidate genes in individuals with a given disease and then screen for 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 ... continued below

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Shah, Nameeta; Teplitsky, Michael V.; Pennacchio, Len A.; Hugenholtz, Philip; Hamann, Bernd & Dubchak, Inna L. July 5, 2005.

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Recent advances in sequencing technologies promise better diagnostics for many diseases as well as better understanding of 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 is possible to re-sequence a large set of appropriate candidate genes in individuals with a given disease and then screen for 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 makes possible more extensive SNP analysis of co-occurring and co-evolving microbial populations. The program is available at http://genome.lbl.gov/vista/snpvista.

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  • Journal Name: BMC Bioinformatics; Journal Volume: 6; Related Information: Journal Publication Date: 12/08/2005

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  • Report No.: LBNL--58131
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 878705
  • Archival Resource Key: ark:/67531/metadc875807

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  • July 5, 2005

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  • Sept. 21, 2016, 2:29 a.m.

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  • Sept. 21, 2017, 3:38 p.m.

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Shah, Nameeta; Teplitsky, Michael V.; Pennacchio, Len A.; Hugenholtz, Philip; Hamann, Bernd & Dubchak, Inna L. SNP-VISTA: An Interactive SNPs Visualization Tool, article, July 5, 2005; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc875807/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.