MBECS

MBECS provides functions to evaluate and mitigate unwanted noise due to processing in batches in microbiome data-sets.

Key Features:

• Batch Effect Correction Algorithms: MBECS incorporates batch correcting algorithms (BECA) from various packages.
• Correction and Reporting Pipeline: MBECS offers a pipeline that provides a preliminary look at the characteristics of a data-set before and after correcting for batch effects.

Scientific Applications:

• Microbiome Data Batch Effect Evaluation: MBECS evaluates unwanted noise due to processing in batches in microbiome data-sets.
• Microbiome Data Batch Effect Mitigation: MBECS mitigates unwanted noise due to processing in batches in microbiome data-sets.

Methodology:

MBECS incorporates batch correcting algorithms from various packages and provides a correction and reporting pipeline for examining data-set characteristics before and after batch effect correction.