OmicplotR: visualizing omic datasets as compositions.

ABSTRACT:

Background

Differential abundance analysis is widely used with high-throughput sequencing data to compare gene abundance or expression between groups of samples. Many software packages exist for this purpose, but each uses a unique set of statistical assumptions to solve problems on a case-by-case basis. These software packages are typically difficult to use for researchers without command-line skills, and software that does offer a graphical user interface do not use a compositionally valid method.

Results

omicplotR facilitates visual exploration of omic datasets for researchers with and without prior scripting knowledge. Reproducible visualizations include principal component analysis, hierarchical clustering, MA plots and effect plots. We demonstrate the functionality of

SUBMITTER: Giguere DJ 

PROVIDER: S-EPMC6858670 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature