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HMP16SData: Efficient Access to the Human Microbiome Project Through Bioconductor.
Schiffer, Lucas; Azhar, Rimsha; Shepherd, Lori; Ramos, Marcel; Geistlinger, Ludwig; Huttenhower, Curtis; Dowd, Jennifer B; Segata, Nicola; Waldron, Levi.
Afiliación
  • Schiffer L; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Azhar R; Institute for Implementation Science in Population Health, City University of New York, New York, New York.
  • Shepherd L; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Ramos M; Institute for Implementation Science in Population Health, City University of New York, New York, New York.
  • Geistlinger L; Roswell Park Cancer Institute, University of Buffalo, Buffalo, New York.
  • Huttenhower C; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
  • Dowd JB; Institute for Implementation Science in Population Health, City University of New York, New York, New York.
  • Segata N; Roswell Park Cancer Institute, University of Buffalo, Buffalo, New York.
  • Waldron L; Graduate School of Public Health and Health Policy, City University of New York, New York, New York.
Am J Epidemiol ; 188(6): 1023-1026, 2019 06 01.
Article en En | MEDLINE | ID: mdl-30649166
Phase 1 of the Human Microbiome Project (HMP) investigated 18 body subsites of 242 healthy American adults to produce the first comprehensive reference for the composition and variation of the "healthy" human microbiome. Publicly available data sets from amplicon sequencing of two 16S ribosomal RNA variable regions, with extensive controlled-access participant data, provide a reference for ongoing microbiome studies. However, utilization of these data sets can be hindered by the complex bioinformatic steps required to access, import, decrypt, and merge the various components in formats suitable for ecological and statistical analysis. The HMP16SData package provides count data for both 16S ribosomal RNA variable regions, integrated with phylogeny, taxonomy, public participant data, and controlled participant data for authorized researchers, using standard integrative Bioconductor data objects. By removing bioinformatic hurdles of data access and management, HMP16SData enables epidemiologists with only basic R skills to quickly analyze HMP data.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN Ribosómico 16S / Bases de Datos Genéticas / Microbiota Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Am J Epidemiol Año: 2019 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN Ribosómico 16S / Bases de Datos Genéticas / Microbiota Límite: Adolescent / Adult / Female / Humans / Male Idioma: En Revista: Am J Epidemiol Año: 2019 Tipo del documento: Article