The Sequence Read Archive: a decade more of explosive growth
The Sequence Read Archive: a decade more of explosive growth
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DOI：
10.1093/nar/gkab1053
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发表时间：
2021-11-24
影响因子：
14.9
通讯作者：
O'Sullivan, Christopher
中科院分区：
文献类型：
--
作者：
Katz, Kenneth;Shutov, Oleg;O'Sullivan, Christopher
序列读取存档（SRA，https://www.ncbi.nlm.nih.gov/sra/）存储原始测序数据和比对信息，以提高再现性并通过数据分析促进新发现。在这里，我们注意到旨在增加访问的存储变化，并突出显示通过分类洞察来增强元数据以帮助用户选择数据的分析。此外，我们还提出了分类分析的三种意想不到的应用。
The Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra/) stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis. Here we note changes in storage designed to increase access and highlight analyses that augment metadata with taxonomic insight to help users select data. In addition, we present three unanticipated applications of taxonomic analysis.