Panitz Frank, Stengaard Henrik, Hornshøj Henrik, Gorodkin Jan, Hedegaard Jakob, Cirera Susanna, Thomsen Bo, Madsen Lone B, Høj Anette, Vingborg Rikke K, Zahn Bujie, Wang Xuegang, Wang Xuefei, Wernersson Rasmus, Jørgensen Claus B, Scheibye-Knudsen Karsten, Arvin Troels, Lumholdt Steen, Sawera Milena, Green Trine, Nielsen Bente J, Havgaard Jakob H, Brunak Søren, Fredholm Merete, Bendixen Christian
Department of Genetics and Biotechnology, Faculty of Agricultural Sciences, University of Aarhus, DK-8830 Tjele, Denmark.
Bioinformatics. 2007 Jul 1;23(13):i387-91. doi: 10.1093/bioinformatics/btm192.
Single nucleotide polymorphisms (SNPs) analysis is an important means to study genetic variation. A fast and cost-efficient approach to identify large numbers of novel candidates is the SNP mining of large scale sequencing projects. The increasing availability of sequence trace data in public repositories makes it feasible to evaluate SNP predictions on the DNA chromatogram level. MAVIANT, a platform-independent Multipurpose Alignment VIewing and Annotation Tool, provides DNA chromatogram and alignment views and facilitates evaluation of predictions. In addition, it supports direct manual annotation, which is immediately accessible and can be easily shared with external collaborators.
Large-scale SNP mining of polymorphisms bases on porcine EST sequences yielded more than 7900 candidate SNPs in coding regions (cSNPs), which were annotated relative to the human genome. Non-synonymous SNPs were analyzed for their potential effect on the protein structure/function using the PolyPhen and SIFT prediction programs. Predicted SNPs and annotations are stored in a web-based database. Using MAVIANT SNPs can visually be verified based on the DNA sequencing traces. A subset of candidate SNPs was selected for experimental validation by resequencing and genotyping. This study provides a web-based DNA chromatogram and contig browser that facilitates the evaluation and selection of candidate SNPs, which can be applied as genetic markers for genome wide genetic studies.
The stand-alone version of MAVIANT program for local use is freely available under GPL license terms at http://snp.agrsci.dk/maviant.
Supplementary data are available at Bioinformatics online.
单核苷酸多态性(SNP)分析是研究基因变异的重要手段。一种快速且经济高效的识别大量新候选SNP的方法是对大规模测序项目进行SNP挖掘。公共数据库中序列追踪数据的日益丰富使得在DNA色谱图水平评估SNP预测成为可能。MAVIANT是一个独立于平台的多功能比对查看和注释工具,可提供DNA色谱图和比对视图,并便于对预测结果进行评估。此外,它支持直接手动注释,这些注释可即时获取且能轻松与外部合作者共享。
基于猪EST序列对多态性进行大规模SNP挖掘,在编码区(cSNP)产生了7900多个候选SNP,并相对于人类基因组进行了注释。使用PolyPhen和SIFT预测程序分析非同义SNP对蛋白质结构/功能的潜在影响。预测的SNP和注释存储在基于网络的数据库中。使用MAVIANT,可以根据DNA测序追踪直观地验证SNP。通过重新测序和基因分型选择了一部分候选SNP进行实验验证。本研究提供了一个基于网络的DNA色谱图和重叠群浏览器,便于对候选SNP进行评估和选择,这些SNP可作为全基因组遗传研究的遗传标记。
MAVIANT程序的独立版本可在GPL许可条款下从http://snp.agrsci.dk/maviant免费获取以供本地使用。
补充数据可在《生物信息学》在线获取。