Unknown

Dataset Information

Investigating differential abundance methods in microbiome data: A benchmark study.


ABSTRACT: The development of increasingly efficient and cost-effective high throughput DNA sequencing techniques has enhanced the possibility of studying complex microbial systems. Recently, researchers have shown great interest in studying the microorganisms that characterise different ecological niches. Differential abundance analysis aims to find the differences in the abundance of each taxa between two classes of subjects or samples, assigning a significance value to each comparison. Several bioinformatic methods have been specifically developed, taking into account the challenges of microbiome data, such as sparsity, the different sequencing depth constraint between samples and compositionality. Differential abundance analysis has led to important conclusions in different fields, from health to

SUBMITTER: Cappellato M 

PROVIDER: S-EPMC9488820 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature