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MicrobiomeDB: a systems biology platform for integrating, mining and analyzing microbiome experiments.
Oliveira, Francislon S; Brestelli, John; Cade, Shon; Zheng, Jie; Iodice, John; Fischer, Steve; Aurrecoechea, Cristina; Kissinger, Jessica C; Brunk, Brian P; Stoeckert, Christian J; Fernandes, Gabriel R; Roos, David S; Beiting, Daniel P.
Afiliação
  • Oliveira FS; Instituto René Rachou, FIOCRUZ/Minas, Belo Horizonte, Minas Gerais, Brazil.
  • Brestelli J; Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Cade S; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Zheng J; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Iodice J; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Fischer S; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Aurrecoechea C; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Kissinger JC; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Brunk BP; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Stoeckert CJ; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Fernandes GR; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Roos DS; Center for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
  • Beiting DP; Center for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Nucleic Acids Res ; 46(D1): D684-D691, 2018 01 04.
Article em En | MEDLINE | ID: mdl-29106667
MicrobiomeDB (http://microbiomeDB.org) is a data discovery and analysis platform that empowers researchers to fully leverage experimental variables to interrogate microbiome datasets. MicrobiomeDB was developed in collaboration with the Eukaryotic Pathogens Bioinformatics Resource Center (http://EuPathDB.org) and leverages the infrastructure and user interface of EuPathDB, which allows users to construct in silico experiments using an intuitive graphical 'strategy' approach. The current release of the database integrates microbial census data with sample details for nearly 14 000 samples originating from human, animal and environmental sources, including over 9000 samples from healthy human subjects in the Human Microbiome Project (http://portal.ihmpdcc.org/). Query results can be statistically analyzed and graphically visualized via interactive web applications launched directly in the browser, providing insight into microbial community diversity and allowing users to identify taxa associated with any experimental covariate.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Genéticas / Biologia de Sistemas / Mineração de Dados / Microbiota Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Genéticas / Biologia de Sistemas / Mineração de Dados / Microbiota Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil