Unknown

Dataset Information

Repeatability and reproducibility assessment in a large-scale population-based microbiota study: case study on human milk microbiota.


ABSTRACT:

Background

Quality control including assessment of batch variabilities and confirmation of repeatability and reproducibility are integral component of high throughput omics studies including microbiome research. Batch effects can mask true biological results and/or result in irreproducible conclusions and interpretations. Low biomass samples in microbiome research are prone to reagent contamination; yet, quality control procedures for low biomass samples in large-scale microbiome studies are not well established.

Results

In this study, we have proposed a framework for an in-depth step-by-step approach to address this gap. The framework consists of three independent stages: (1) verification of sequencing accuracy by assessing technical repeatability and reproducibility of the

SUBMITTER: Moossavi S 

PROVIDER: S-EPMC7877029 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature