AMDA
The AMDA (Adaptive Multivariate Two-Sample Test for Microbiome Differential Analysis) is a software tool designed for differential abundance analysis in microbiome studies. It aims to identify microbiome taxa associated with certain biological or clinical conditions. This tool addresses the crucial task of microbiome differential abundance analysis through two distinct approaches: individual-based univariate differential abundance analysis and group-based multivariate differential abundance analysis.
Univariate Differential Abundance Analysis: This mode identifies microbiome taxa that are differentially abundant, subject to multiple corrections under statistical error measurements such as the false discovery rate. This analysis is complex due to the high dimensionality of the taxa and their intricate correlation structure.
- Multivariate Differential Abundance Analysis: This mode evaluates the overall shift in the abundance of microbiome composition between two conditions. It provides preliminary differential information essential for follow-up validation studies.
The AMDA software introduces an adaptive multivariate two-sample test specifically for examining whether the composition of a taxa-set differs between two conditions.
Topic
Microbial ecology;RNA-Seq;Metagenomics
Detail
Operation: Differential binding analysis;Differential protein expression analysis
Software interface: Library
Language: R
License: The GNU General Public License v3.0
Cost: Free with restrictions
Version name: -
Credit: Quadrant Biosciences Inc., the National Institutes of Health, National Science Foundation.
Input: -
Output: -
Contact: Xiang Zhan xyz5074@psu.edu
Collection: -
Maturity: Stable
Publications
- An Adaptive Multivariate Two-Sample Test With Application to Microbiome Differential Abundance Analysis.
- Banerjee K, et al. An Adaptive Multivariate Two-Sample Test With Application to Microbiome Differential Abundance Analysis. An Adaptive Multivariate Two-Sample Test With Application to Microbiome Differential Abundance Analysis. 2019; 10:350. doi: 10.3389/fgene.2019.00350
- https://doi.org/10.3389/FGENE.2019.00350
- PMID: 31068967
- PMC: PMC6491633
Download and documentation
Source: https://github.com/xyz5074/AMDA/blob/master/AMDA_1.0.tar.gz
Documentation: https://github.com/xyz5074/AMDA/blob/master/AMDA-manual.pdf
Home page: https://github.com/xyz5074/AMDA
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