Richness estimation in microbiome data obtained from denoising pipelines.

ABSTRACT: The quantification of richness within a sample-either measured as the number of observed species or approximated by estimation-is a common first step in microbiome studies and is known to be highly dependent on sequencing depth, which itself is highly variable between samples. Rarefaction curves serve as a tool to investigate this dependency and it is often argued that after rarefying data-sub-sampling to an equal sequencing depth-richness estimates no longer depend on sequencing depth. However, the estimation of richness from data obtained by high throughput sequencing methods and processed by current bioinformatics pipelines may be subject to various sources of variation related to sequencing depth. Those that may confound inference based on richness estimates and cannot be solved by sub

SUBMITTER: Kleine Bardenhorst S 

PROVIDER: S-EPMC8762370 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature