Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/18656
Title: VarDetect: A nucleotide sequence variation exploratory tool
Authors: Chumpol Ngamphiw
Supasak Kulawonganunchai
Anunchai Assawamakin
Ekachai Jenwitheesuk
Sissades Tongsima
Thailand National Center for Genetic Engineering and Biotechnology
Asian Institute of Technology Thailand
Mahidol University
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology;Computer Science;Mathematics
Issue Date: 12-Dec-2008
Citation: BMC Bioinformatics. Vol.9, No.SUPPL. 12 (2008)
Abstract: Background: Single nucleotide polymorphisms (SNPs) are the most commonly studied units of genetic variation. The discovery of such variation may help to identify causative gene mutations in monogenic diseases and SNPs associated with predisposing genes in complex diseases. Accurate detection of SNPs requires software that can correctly interpret chromatogram signals to nucleotides. Results: We present VarDetect, a stand-alone nucleotide variation exploratory tool that automatically detects nucleotide variation from fluorescence based chromatogram traces. Accurate SNP base-calling is achieved using pre-calculated peak content ratios, and is enhanced by rules which account for common sequence reading artifacts. The proposed software tool is benchmarked against four other well-known SNP discovery software tools (PolyPhred, novoSNP, Genalys and Mutation Surveyor) using fluorescence based chromatograms from 15 human genes. These chromatograms were obtained from sequencing 16 two-pooled DNA samples; a total of 32 individual DNA samples. In this comparison of automatic SNP detection tools, VarDetect achieved the highest detection efficiency. © 2008 Ngamphiw et al; licensee BioMed Central Ltd.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=57649166523&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/18656
ISSN: 14712105
Appears in Collections:Scopus 2006-2010

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.