4.7 Article

SVA: software for annotating and visualizing sequenced human genomes

期刊

BIOINFORMATICS
卷 27, 期 14, 页码 1998-2000

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr317

关键词

-

资金

  1. Bill & Melinda Gates Foundation [157412]
  2. National Institute of Allergy and Infectious Diseases Center for HIV/AIDS Vaccine Immunology [AI067854]
  3. National Institute of Neurological Disorders and Stroke [RC2NS070344]
  4. National Institute of Mental Health [RC2MH089915]

向作者/读者索取更多资源

Here we present Sequence Variant Analyzer (SVA), a software tool that assigns a predicted biological function to variants identified in next-generation sequencing studies and provides a browser to visualize the variants in their genomic contexts. SVA also provides for flexible interaction with software implementing variant association tests allowing users to consider both the bioinformatic annotation of identified variants and the strength of their associations with studied traits. We illustrate the annotation features of SVA using two simple examples of sequenced genomes that harbor Mendelian mutations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据