Analyses in R and Python Using curatedMetagenomicData
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Updated
Nov 16, 2025 - Python
Analyses in R and Python Using curatedMetagenomicData
GDmicro - Use GCN and Deep adaptation network to classify host disease status based on human gut microbiome data.
A microbiome knowledge graph was constructed using data from the Human Microbiome Project, IBD cohort. This project was done as a part of my dissertation for my MSc in Health Data Science with The University of Manchester. It was done as an internship with Zifo RnD Solutions, a leading Scientific Informatics Company.
Exploring different database implementations for clinical microbiome data
A database for storing and analyzing omics data
Microbial Community Mechanisms Knowledge Base - LinkML-based modeling of microbial communities with evidence-based ecological interactions
Python utility to generate distance matrices, perform PCoAs and generate taxonomic summaries using simple tab-separated feature tables.
Machine learning for microbiome data
Convert the American Gut Microbiome Project phenotype .xml files into a single .csv file.
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