Suppr超能文献

电子科学:缓解大规模基因组分析中的瓶颈

e-Science: relieving bottlenecks in large-scale genome analyses.

作者信息

Craddock Tracy, Harwood Colin R, Hallinan Jennifer, Wipat Anil

机构信息

Tracy Craddock, Jennifer Hallinan and Anil Wipat are at the School of Computing Science, Claremont Tower, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.

出版信息

Nat Rev Microbiol. 2008 Dec;6(12):948-54. doi: 10.1038/nrmicro2031.

Abstract

The development of affordable, high-throughput sequencing technology has led to a flood of publicly available bacterial genome-sequence data. The availability of multiple genome sequences presents both an opportunity and a challenge for microbiologists, and new computational approaches are needed to extract the knowledge that is required to address specific biological problems and to analyse genomic data. The field of e-Science is maturing, and Grid-based technologies can help address this challenge.

摘要

价格合理的高通量测序技术的发展,带来了大量可公开获取的细菌基因组序列数据。多个基因组序列的可得性,对微生物学家而言既是机遇也是挑战,因此需要新的计算方法来提取解决特定生物学问题所需的知识,并对基因组数据进行分析。电子科学领域正在走向成熟,基于网格的技术有助于应对这一挑战。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验