Interactive exploratory data analysis of Integrative Human Microbiome Project data using Metaviz
- Resource Type
- Authors
- Victor Felix; Jayaram Kancherla; Héctor Corrada Bravo; Justin Wagner; Anup Mahurkar; Domenick J. Braccia; James Matsumara; Jonathan Crabtree
- Source
- F1000Research
- Subject
- Data Analysis
0301 basic medicine
R/Bioconductor
Computer science
Biology
General Biochemistry, Genetics and Molecular Biology
Bioconductor
03 medical and health sciences
Resource (project management)
0302 clinical medicine
Humans
Use case
Microbiome
General Pharmacology, Toxicology and Pharmaceutics
visualization
030304 developmental biology
metagenomics
0303 health sciences
General Immunology and Microbiology
Software Tool Article
Microbiota
Articles
General Medicine
Data science
Visualization
Exploratory data analysis
Intergrative Human Microbiome Project
030104 developmental biology
Research Design
Metagenomics
Data Interpretation, Statistical
030217 neurology & neurosurgery
Human Microbiome Project
- Language
- ISSN
- 2046-1402
The rich data produced by the second phase of the Human Microbiome Project (iHMP) offers a unique opportunity to test hypotheses that interactions between microbial communities and a human host might impact an individual’s health or disease status. In this work we describe infrastructure that integrates Metaviz, an interactive microbiome data analysis and visualization tool, with the iHMP Data Coordination Center web portal and the HMP2Data R/Bioconductor package. We describe integrative statistical and visual analyses of two datasets from iHMP using Metaviz along with the metagenomeSeq R/Bioconductor package for statistical analysis of differential abundance analysis. These use cases demonstrate the utility of a combined approach to access and analyze data from this resource.