Suppr超能文献

蜂群:用于大规模变体分析的联邦云框架。

Swarm: A federated cloud framework for large-scale variant analysis.

机构信息

Stanford Healthcare Innovation Lab, Stanford University, California, United States of America.

Stanford Center for Genomics and Personalized Medicine, Stanford University, California, United States of America.

出版信息

PLoS Comput Biol. 2021 May 12;17(5):e1008977. doi: 10.1371/journal.pcbi.1008977. eCollection 2021 May.

Abstract

Genomic data analysis across multiple cloud platforms is an ongoing challenge, especially when large amounts of data are involved. Here, we present Swarm, a framework for federated computation that promotes minimal data motion and facilitates crosstalk between genomic datasets stored on various cloud platforms. We demonstrate its utility via common inquiries of genomic variants across BigQuery in the Google Cloud Platform (GCP), Athena in the Amazon Web Services (AWS), Apache Presto and MySQL. Compared to single-cloud platforms, the Swarm framework significantly reduced computational costs, run-time delays and risks of security breach and privacy violation.

摘要

在多个云平台上进行基因组数据分析是一个持续存在的挑战,特别是当涉及大量数据时。在这里,我们提出了 Swarm,这是一个联邦计算框架,它促进了最小的数据移动,并促进了存储在各种云平台上的基因组数据集之间的交流。我们通过在谷歌云平台 (GCP) 的 BigQuery、亚马逊网络服务 (AWS) 的 Athena、Apache Presto 和 MySQL 中对基因组变体进行常见查询来展示其效用。与单云平台相比,Swarm 框架显著降低了计算成本、运行时延迟以及安全漏洞和隐私侵犯的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b83/8143397/4f01b1b60da6/pcbi.1008977.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验