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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Invited Commentary: Improving the Accessibility of Human Microbiome Project Data Through Integration With
Jocelyn C Griffith1, Xochitl C Morgan1
1Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
American Journal of Epidemiology
|January 17, 2019
Summary
The Human Microbiome Project (HMP) offers valuable data on healthy microbiomes. A new R package simplifies access to this complex HMP data, aiding public health research.
Area of Science:
- Microbiology
- Bioinformatics
- Public Health
Background:
- Microbiota alterations are linked to numerous diseases.
- The Human Microbiome Project (HMP) established a reference dataset of the healthy human microbiome.
- Analyzing HMP data presents significant bioinformatic challenges.
Purpose of the Study:
- To simplify access to and analysis of the Human Microbiome Project data.
- To provide researchers with an integrated data object combining 16S taxonomic abundance, metadata, and phylogenetic trees.
- To facilitate the use of HMP data for public health research.
Main Methods:
- Development of the HMP16SData R/Bioconductor package.
- Integration of 16S rRNA gene sequencing data, patient metadata, and phylogenetic trees.
- Creation of an interface for accessing controlled-access HMP metadata via dbGaP.
Main Results:
- The HMP16SData package consolidates HMP data into a single, accessible object.
- The package simplifies the retrieval and merging of public and restricted HMP metadata.
- The tool is designed for researchers with varying levels of R and statistical expertise.
Conclusions:
- The HMP16SData package significantly enhances accessibility to HMP data.
- Improved data accessibility supports public health research by providing a reference for disease-associated studies.
- This resource benefits a broad range of researchers across disciplines.
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