PERFect: PERmutation Filtering test for microbiome data.

ABSTRACT: The human microbiota composition is associated with a number of diseases including obesity, inflammatory bowel disease, and bacterial vaginosis. Thus, microbiome research has the potential to reshape clinical and therapeutic approaches. However, raw microbiome count data require careful pre-processing steps that take into account both the sparsity of counts and the large number of taxa that are being measured. Filtering is defined as removing taxa that are present in a small number of samples and have small counts in the samples where they are observed. Despite progress in the number and quality of filtering approaches, there is no consensus on filtering standards and quality assessment. This can adversely affect downstream analyses and reproducibility of results across platforms and softw

SUBMITTER: Smirnova E 

PROVIDER: S-EPMC6797060 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature