期刊
BIOINFORMATICS
卷 37, 期 1, 页码 118-120出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa1062
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资金
- University of Virginia School of Medicine
- University of Virginia 4-VA program
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.
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