Integrative web cloud computing and analytics using MiPair for design-based comparative analysis with paired microbiome data.

ABSTRACT: Pairing (or blocking) is a design technique that is widely used in comparative microbiome studies to efficiently control for the effects of potential confounders (e.g., genetic, environmental, or behavioral factors). Some typical paired (block) designs for human microbiome studies are repeated measures designs that profile each subject's microbiome twice (or more than twice) (1) for pre and post treatments to see the effects of a treatment on microbiome, or (2) for different organs of the body (e.g., gut, mouth, skin) to see the disparity in microbiome between (or across) body sites. Researchers have developed a sheer number of web-based tools for user-friendly microbiome data processing and analytics, though there is no web-based tool currently available for such paired microbiome studies

SUBMITTER: Jang H 

PROVIDER: S-EPMC9705534 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature