Supporting data for “Quantitative Analysis of the Human Gut Microbiome and its Implication on Health and Disease”.

Name: Supporting data for “Quantitative Analysis of the Human Gut Microbiome and its Implication on Health and Disease”.
Published: 2024-08-09T01:08:45+00:00
License: https://creativecommons.org/licenses/by-nc/4.0/
Keywords: Bioinformatic analysis for the exome data

dataset

posted on 2024-08-09, 01:08 authored by Sheng XuSheng Xu

The data is for the thesis chapter titled "MetaQuad," and the relevant materials for the Metaquad paper. "Sheng Xu, Daniel C Morgan, Gordon Qian, Yuanhua Huang, Joshua W K Ho, MetaQuad: shared informative variants discovery in metagenomic samples, Bioinformatics Advances, Volume 4, Issue 1, 2024, vbae030, https://doi.org/10.1093/bioadv/vbae030"

MetaQuad is a tool designed to detect shared informative variants in a population of shotgun metagenomic data. It uses a density clustering model to assess the informative variants among background noise. MetaQuad is an extension of MQuad, specifically tailored to support shotgun metagenomic data.

The detailed introduction and usage can be found in the MetaQuad paper and GitHub page: https://github.com/holab-hku/MetaQuad