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IFIM: a database of integrated fitness information for microbial genes.
Wei, Wen; Ye, Yuan-Nong; Luo, Sen; Deng, Yan-Yan; Lin, Dan; Guo, Feng-Biao.
Afiliação
  • Wei W; Center of Bioinformatics and Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Ye YN; Center of Bioinformatics and Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Luo S; Center of Bioinformatics and Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Deng YY; Center of Bioinformatics and Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Lin D; Center of Bioinformatics and Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Guo FB; Center of Bioinformatics and Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China fbguo@uestc.edu.cn.
Database (Oxford) ; 20142014.
Article em En | MEDLINE | ID: mdl-24923821
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Genéticas / Aptidão Genética / Genes Microbianos Idioma: En Revista: Database (Oxford) Ano de publicação: 2014 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Genéticas / Aptidão Genética / Genes Microbianos Idioma: En Revista: Database (Oxford) Ano de publicação: 2014 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido