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GIGGLE: a search engine for large-scale integrated genome analysis
Nature Methods ( IF 36.1 ) Pub Date : 2018-01-08 , DOI: 10.1038/nmeth.4556
Ryan M Layer 1, 2 , Brent S Pedersen 1, 2 , Tonya DiSera 1, 2 , Gabor T Marth 1, 2 , Jason Gertz 3 , Aaron R Quinlan 1, 2, 4
Affiliation  

GIGGLE is a genomics search engine that identifies and ranks the significance of genomic loci shared between query features and thousands of genome interval files. GIGGLE (https://github.com/ryanlayer/giggle) scales to billions of intervals and is over three orders of magnitude faster than existing methods. Its speed extends the accessibility and utility of resources such as ENCODE, Roadmap Epigenomics, and GTEx by facilitating data integration and hypothesis generation.



中文翻译:

GIGGLE:大规模综合基因组分析的搜索引擎

GIGGLE 是一个基因组学搜索引擎,可识别和排列查询特征和数千个基因组区间文件之间共享的基因组位点的重要性。GIGGLE (https://github.com/ryanlayer/giggle) 可扩展到数十亿个区间,比现有方法快三个数量级。它的速度通过促进数据集成和假设生成,扩展了 ENCODE、Roadmap Epigenomics 和 GTEx 等资源的可访问性和实用性。

更新日期:2018-01-08
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