4.7 Article

IGD: high-performance search for large-scale genomic interval datasets

期刊

BIOINFORMATICS
卷 37, 期 1, 页码 118-120

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa1062

关键词

-

资金

  1. University of Virginia School of Medicine
  2. University of Virginia 4-VA program

向作者/读者索取更多资源

IGD is a method and tool for searching genome interval datasets faster and more efficiently, using a novel linear binning method to scale analysis to billions of genomic regions. It is able to handle large-scale genomic data with significantly improved speed and memory efficiency.
Databases of large-scale genome projects now contain thousands of genomic interval datasets. These data are a critical resource for understanding the function of DNA. However, our ability to examine and integrate interval data of this scale is limited. Here, we introduce the integrated genome database (IGD), a method and tool for searching genome interval datasets more than three orders of magnitude faster than existing approaches, while using only one hundredth of the memory. IGD uses a novel linear binning method that allows us to scale analysis to billions of genomic regions.

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