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BioinformaticsBioinformatics
Peer-reviewed journal article

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

Jianglin FengiD, Nathan C. SheffieldiD

Abstract

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. Availabilityhttps://github.com/databio/IGD

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Jianglin Feng, Aakrosh Ratan, Nathan C. Sheffield·Bioinformatics·May 28, 2019· 18 citations