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AgroSeek: a system for computational analysis of environmental metagenomic data and associated metadata.
Liang, Xiao; Akers, Kyle; Keenum, Ishi; Wind, Lauren; Gupta, Suraj; Chen, Chaoqi; Aldaihani, Reem; Pruden, Amy; Zhang, Liqing; Knowlton, Katharine F; Xia, Kang; Heath, Lenwood S.
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  • Liang X; Department of Computer Science, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA. xliangvt@vt.edu.
  • Akers K; Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Keenum I; Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Wind L; Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Gupta S; Interdisciplinary PhD Program in Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Chen C; School of Resource and Environmental Science, Wuhan University, 430072, Wuhan, China.
  • Aldaihani R; Department of Computer Science, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Pruden A; Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Zhang L; Department of Computer Science, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Knowlton KF; Department of Dairy Science, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Xia K; School of Plant and Environmental Science, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
  • Heath LS; Department of Computer Science, Virginia Polytechnic Institute and State University, 24061, Blacksburg, USA.
BMC Bioinformatics ; 22(1): 117, 2021 Mar 10.
Article en En | MEDLINE | ID: mdl-33691615
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacorresistencia Microbiana / Microbiología Ambiental / Metagenómica / Metadatos / Genes Bacterianos Tipo de estudio: Risk_factors_studies Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacorresistencia Microbiana / Microbiología Ambiental / Metagenómica / Metadatos / Genes Bacterianos Tipo de estudio: Risk_factors_studies Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos