A framework for assessing 16S rRNA marker-gene survey data analysis methods using mixtures.

ABSTRACT:

Background

There are a variety of bioinformatic pipelines and downstream analysis methods for analyzing 16S rRNA marker-gene surveys. However, appropriate assessment datasets and metrics are needed as there is limited guidance to decide between available analysis methods. Mixtures of environmental samples are useful for assessing analysis methods as one can evaluate methods based on calculated expected values using unmixed sample measurements and the mixture design. Previous studies have used mixtures of environmental samples to assess other sequencing methods such as RNAseq. But no studies have used mixtures of environmental to assess 16S rRNA sequencing.

Results

We developed a framework for assessing 16S rRNA sequencing analysis methods which utilizes a novel two-sample ti

SUBMITTER: Olson ND 

PROVIDER: S-EPMC7071580 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature