Use este identificador para citar ou linkar para este item:
https://www.arca.fiocruz.br/handle/icict/25278
Tipo de documento
ArtigoDireito Autoral
Acesso restrito
Data de embargo
2025-01-01
Coleções
Metadata
Mostrar registro completo
MICROBIOMEDB: A SYSTEMS BIOLOGY PLATFORM FOR INTEGRATING, MINING AND ANALYZING MICROBIOME EXPERIMENTS.
Autor(es)
Afiliação
Fundação Oswaldo Cruz. Instituto Rene e Rachou. Belo Horizonte, MG, Brazil/Universidade Federal de Minas Gerais. Belo Horizonte, MG, Brazil
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Pennsylvania. Department of Biology. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Georgia. Center for Tropical & Emerging Global Diseases. Athens, GA, USA
University of Georgia. Center for Tropical & Emerging Global Diseases. Athens, GA, USA/University of Georgia. Department of Genetics. Athens, GA, USA/University of Georgia. Institute of Bioinformatics. Athens, GA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/ University of Pennsylvania. Department of Biology. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
Fundação Oswaldo Cruz. Instituto Rene e Rachou. Belo Horizonte, MG, Brazil
University of Pennsylvania. Department of Biology. Philadelphia, PA, USA
University of Pennsylvania. School of Veterinary Medicine. Department of Pathobiology. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Pennsylvania. Department of Biology. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
University of Georgia. Center for Tropical & Emerging Global Diseases. Athens, GA, USA
University of Georgia. Center for Tropical & Emerging Global Diseases. Athens, GA, USA/University of Georgia. Department of Genetics. Athens, GA, USA/University of Georgia. Institute of Bioinformatics. Athens, GA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/ University of Pennsylvania. Department of Biology. Philadelphia, PA, USA
University of Pennsylvania. Institute for Biomedical Informatics. Philadelphia, PA, USA/University of Pennsylvania. Department of Genetics, Perelman School of Medicine. Philadelphia, PA, USA
Fundação Oswaldo Cruz. Instituto Rene e Rachou. Belo Horizonte, MG, Brazil
University of Pennsylvania. Department of Biology. Philadelphia, PA, USA
University of Pennsylvania. School of Veterinary Medicine. Department of Pathobiology. Philadelphia, PA, USA
Resumo em Inglês
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 9,000 samples from healthy human subjects in the Human Microbiome Project. 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.
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