Illuminating the Virosphere Through Global Metagenomics.

IF 7 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Annual Review of Biomedical Data Science Pub Date : 2021-07-20 DOI:10.1146/annurev-biodatasci-012221-095114
Lee Call, Stephen Nayfach, Nikos C Kyrpides
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引用次数: 13

Abstract

Viruses are the most abundant biological entity on Earth, infect cellular organisms from all domains of life, and are central players in the global biosphere. Over the last century, the discovery and characterization of viruses have progressed steadily alongside much of modern biology. In terms of outright numbers of novel viruses discovered, however, the last few years have been by far the most transformative for the field. Advances in methods for identifying viral sequences in genomic and metagenomic datasets, coupled to the exponential growth of environmental sequencing, have greatly expanded the catalog of known viruses and fueled the tremendous growth of viral sequence databases. Development and implementation of new standards, along with careful study of the newly discovered viruses, have transformed and will continue to transform our understanding of microbial evolution, ecology, and biogeochemical cycles, leading to new biotechnological innovations across many diverse fields, including environmental, agricultural, and biomedical sciences.

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通过全球宏基因组学照亮病毒圈。
病毒是地球上最丰富的生物实体,感染来自所有生命领域的细胞生物体,是全球生物圈的核心参与者。在过去的一个世纪里,病毒的发现和特征与现代生物学一起稳步发展。然而,就新发现病毒的数量而言,过去几年是该领域迄今为止最具变革性的几年。在基因组和宏基因组数据集中识别病毒序列的方法的进步,加上环境测序的指数级增长,极大地扩展了已知病毒的目录,并推动了病毒序列数据库的巨大增长。新标准的制定和实施,以及对新发现病毒的仔细研究,已经并将继续改变我们对微生物进化、生态学和生物地球化学循环的理解,从而在包括环境、农业和生物医学科学在内的许多不同领域带来新的生物技术创新。
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来源期刊
CiteScore
11.10
自引率
1.70%
发文量
0
期刊介绍: The Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.
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