Influenza Research Database: An integrated bioinformatics resource for influenza virus research

被引:242
|
作者
Zhang, Yun [1 ]
Aevermann, Brian D. [1 ]
Anderson, Tavis K. [2 ]
Burke, David F. [3 ]
Dauphin, Gwenaelle [4 ]
Gu, Zhiping [5 ]
He, Sherry [5 ]
Kumar, Sanjeev [5 ]
Larsen, Christopher N. [6 ]
Lee, Alexandra J. [1 ]
Li, Xiaomei [5 ]
Macken, Catherine [7 ]
Mahaffey, Colin [5 ]
Pickett, Brett E. [1 ]
Reardon, Brian [1 ]
Smith, Thomas [5 ]
Stewart, Lucy [1 ]
Suloway, Christian [5 ]
Sun, Guangyu [6 ]
Tong, Lei [5 ]
Vincent, Amy L. [2 ]
Walters, Bryan [5 ]
Zaremba, Sam [5 ]
Zhao, Hongtao [5 ]
Zhou, Liwei [5 ]
Zmasek, Christian [1 ]
Klem, Edward B. [5 ]
Scheuermann, Richard H. [1 ,8 ,9 ]
机构
[1] J Craig Venter Inst, La Jolla, CA 92037 USA
[2] USDA ARS, Virus & Prion Res Unit, Natl Anim Dis Ctr, Ames, IA 50010 USA
[3] Univ Cambridge, Dept Zool, Cambridge CB2 3EJ, England
[4] UN, FAO, Anim Hlth Serv, I-00153 Rome, Italy
[5] Northrop Grumman Hlth Solut, Rockville, MD 20850 USA
[6] Vecna Technol, Greenbelt, MD 20770 USA
[7] Univ Auckland, Bioinformat Inst, Auckland 1010, New Zealand
[8] Univ Calif San Diego, Dept Pathol, San Diego, CA 92093 USA
[9] La Jolla Inst Allergy & Immunol, Div Vaccine Discovery, La Jolla, CA 92037 USA
基金
美国国家卫生研究院;
关键词
A VIRUS; MESSENGER-RNA; PROTEIN; IDENTIFICATION; SEQUENCES; SWINE; GENE; TOOL; NS1;
D O I
10.1093/nar/gkw857
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The Influenza Research Database (IRD) is a U.S. National Institute of Allergy and Infectious Diseases (NIAID)-sponsored Bioinformatics Resource Center dedicated to providing bioinformatics support for influenza virus research. IRD facilitates the research and development of vaccines, diagnostics and therapeutics against influenza virus by providing a comprehensive collection of influenza-related data integrated from various sources, a growing suite of analysis and visualization tools for data mining and hypothesis generation, personal workbench spaces for data storage and sharing, and active user community support. Here, we describe the recent improvements in IRD including the use of cloud and high performance computing resources, analysis and visualization of user-provided sequence data with associated metadata, predictions of novel variant proteins, annotations of phenotype-associated sequence markers and their predicted phenotypic effects, hemagglutinin (HA) clade classifications, an automated tool for HA subtype numbering conversion, linkouts to disease event data and the addition of host factor and antiviral drug components. All data and tools are freely available without restriction from the IRD website at https://www.fludb.org.
引用
收藏
页码:D466 / D474
页数:9
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