Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency.

ABSTRACT:

Background

The most widely used technologies for profiling microbial communities are 16S marker-gene sequencing and shotgun metagenomic sequencing. Interestingly, many microbiome studies have performed both sequencing experiments on the same cohort of samples. The two sequencing datasets often reveal consistent patterns of microbial signatures, highlighting the potential for an integrative analysis to improve power of testing these signatures. However, differential experimental biases, partially overlapping samples, and differential library sizes pose tremendous challenges when combining the two datasets. Currently, researchers either discard one dataset entirely or use different datasets for different objectives.

Methods

In this article, we introduce the first method of thi

SUBMITTER: Yue Y 

PROVIDER: S-EPMC10602108 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature