MicrobiotaProcess

MicrobiotaProcess analyzes, visualizes, and discovers biomarkers from microbial datasets using a tidy framework and MPSE data structure.

Key Features:

• MPSE Data Structure: Introduces the MPSE class to integrate primary and intermediate data and improve interoperability with the existing R computing ecosystem.
• Tidy Framework: Implements a tidy microbiome data structure paradigm and analysis grammar for unified data analysis procedures.
• Composable Functions: Decomposes downstream analysis tasks into functions that independently perform simple tasks and can be combined to perform complex tasks.
• Interoperability: Interoperates with other packages in the R community to expand analytical capabilities.
• Visualization Methods: Provides visualization methods to assist in presenting and interpreting results.

Scientific Applications:

• Microbiome Data Analysis: Analyzes microbiome data through a comprehensive framework connecting upstream data to flexible downstream analysis components.
• Ecological Data Analysis: Analyzes other ecological data using the same tidy framework and composable function approach.
• Biomarker Discovery: Identifies biomarkers from microbial datasets.
• Personalized Analysis Workflows: Enables users to explore data, conduct personalized analyses, and develop custom analysis workflows.

Methodology:

Downstream analysis tasks are decomposed into functions designed under a tidy framework that can be combined to perform complex tasks.