MetaLonDA: a flexible R package for identifying time intervals of differentially abundant features in metagenomic longitudinal studies.

ABSTRACT: BACKGROUND:Microbial longitudinal studies are powerful experimental designs utilized to classify diseases, determine prognosis, and analyze microbial systems dynamics. In longitudinal studies, only identifying differential features between two phenotypes does not provide sufficient information to determine whether a change in the relative abundance is short-term or continuous. Furthermore, sample collection in longitudinal studies suffers from all forms of variability such as a different number of subjects per phenotypic group, a different number of samples per subject, and samples not collected at consistent time points. These inconsistencies are common in studies that collect samples from human subjects. RESULTS:We present MetaLonDA, an R package that is capable of identifying significan

SUBMITTER: Metwally AA 

PROVIDER: S-EPMC5812052 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature