Omics are novel, comprehensive approaches for analysis of complete genetic or molecular profiles of humans and other organisms . This approach allows studying how complex interactions between genes and molecules influence the phenotype, e.g. the disease symptoms in a patient. The downstream analysis section contains modules for data science such as correlation, clustering (i.e., heatmap) and feature selection methods.

The Data Resource format describes a data resource such as an individual file or table. The essence of a Data Resource is a locator for the data it describes. A range of other properties can be declared to provide a richer set of metadata.

With the huge amount of new jobs opening up in the Omics medical field, such as its application in pharmaceutical and biotech, computer science and biotechnology software, government research, health care research programs, thus our lab researches on various factors affecting individuals using Omics Data Science.

Metabolomics is a field of research that investigates the complex and diverse metabolic processes in biological systems. The goal of metabolome analysis is to identify and quantify all metabolites in a cellular system.