OmicsOne: Associate Omics Data with Phenotypes in One-Click

Abstract

The rapid advancements of high-throughput \"omics\" technologies have brought huge amount of data to process during and after experiments. Multi-omic analysis facilitates a deeper interrogation of a dataset, and discovery of interesting genes, proteins, lipids, glycans, or metabolites, or pathways related to the corresponding phenotypes in a study. Many individual software tools have been developed to analyze and visualize the data. However, integrating multiple omics data analysis strategies and approaches in a single data processing pipeline is still a challenge task. OmicsOne is a software developed in R, Python and Jupyter Notebook that can achieve statistical analysis, machine learning, and data visualization on multi- omics data by taking the advantages of integrating the useful tools from individual software packages. OmicsOne can simplify \"omics\" data analysis, and delineate molecules, or pathways associated to interested phenotypes.