.png){kind=icon}
返回
Cloud computing for genomic data analysis and collaboration
.png){kind=icon}
OA
AI
DOI：10.1038/nrg.2017.113.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Next-generation sequencing has made major strides in the past decade. Studies based on large sequencing data sets are growing in number, and public archives for raw sequencing data have been doubling in size every 18 months. Leveraging these data requires researchers to use large-scale computational resources. Cloud computing, a model whereby users rent computers and storage from large data centres, is a solution that is gaining traction in genomics research. Here, we describe how cloud computing is used in genomics for research and large-scale collaborations, and argue that its elasticity, reproducibility and privacy features make it ideally suited for the large-scale reanalysis of publicly available archived data, including privacy-protected data.
Keyword:
GENETIC-VARIATION
SEQUENCING DATA
CANCER
MICROARRAY
METAANALYSIS
EXPRESSION
PLATFORM
SERVICE
ARCHIVE
GLOBUS
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
52
论文数:
4.0K
被引数:
4.3W
机构
引用论文
分享收藏Defective number module or impaired access? Numerical magnitude processing in first graders with mathematical difficulties有缺陷的号码模块或受损的访问？数学困难的一年级学生的数值大小处理OAAI
OAAI分享收藏The sequence read archive: explosive growth of sequencing datasequence read archive: 测序数据的爆炸式增长.png)
NUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏分享收藏The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update用于可访问，可复制和协作生物医学分析的Galaxy平台: 2016更新NUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏
查看更多内容