像这样的数据:基因组数据视觉论文的排名搜索

Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web Pub Date : 2015-05-31 DOI:10.1145/2795218.2795221

V. M. Megler, D. Maier, D. Bottomly, Libbey White, S. McWeeney, B. Wilmot

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引用次数: 2

摘要

高通量基因测序产生了最终的“大数据”:人类基因组序列包含超过3B个碱基对，并且越来越多的特征或注释被记录在碱基对水平上。在基因组中定位感兴趣的区域对研究人员来说是一个挑战，限制了他们的研究。我们描述了将“大数据”排序搜索应用于基因组搜索问题的愿景。我们的目标是使搜索数据对科学家来说像搜索互联网一样容易。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Like This: Ranked Search of Genomic Data Vision Paper

High-throughput genetic sequencing produces the ultimate "big data": a human genome sequence contains more than 3B base pairs, and more and more characteristics, or annotations, are being recorded at the base-pair level. Locating areas of interest within the genome is a challenge for researchers, limiting their investigations. We describe our vision of adapting "big data" ranked search to the problem of searching the genome. Our goal is to make searching for data as easy for scientists as searching the Internet.

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Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web

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