Insilico PandaOmics - Software for OMICs Data Analysis

OMICs data analysis

Access the full set of OMICs data generated by the scientific community so far. You do not need to spend your time trying to convert your data into an interpretable format or wait for a bioinformatician to do that for you — instead, you will find all the data already processed and uploaded in a uniform way, so you can focus on science and data interpretation.

Comprehensive pathway analysis

Pathway analysis is a crucial step toward a complete understanding of how data works. It converts a list of seemingly unrelated genes into a connected story based on dysregulated molecular processes. PandaOmics uses a proprietary pathway analysis approach called iPanda to infer pathway activation or inhibition. Results published in Nature communications in 2016 demonstrated the algorithm outperforming other pathway analysis tools.

Actionable Target Identification

Once you have brought the context of related OMICs to your disease, start exploring the set of actionable drug target hypotheses that PandaOmics provides. A set of artificial intelligence algorithms analyzes the whole pool of text data, mentioning all significant genes from your experiment in the context of the disease you are studying, and brings both clear and hidden connections from the dataset and publications, grants, patents, clinical trials, etc.

5M OMICs data samples

A full spectrum of transcriptomics, genomics, epigenomics, proteomics, single cell data generated by the scientific community

1.3M Compound & Biologics

Drugs from Phase 1 of clinical trial till Launched phase

3M Grants

Life sciences research grant funding

3.8M Patents

Patents covering the life sciences industry

342K Clinical Trials

Explore extra knowledge related to the clinical trials design

30M Publications

Published biomedical research results