From myopic, isolated analysis to
integrated multi-omics
At AccelOM, we are pioneering the use of AI-based multi-omics methods for performing integrated analysis of genomic data from multiple molecular levels to provide a holistic picture of how genomics drives the progression of a disease in a way that would not be possible using traditional, non-integrated analysis methods.
AccelOM integrated genomics pipeline
One-click analysis
End-to-end automated, ready-to-deploy software pipelines.
Reproducible
Packaged using industry-standard container technologies
Customizable
Modular pipeline stages targeted for specialized scenarios.
Verified
Based on cutting-edge, peer-reviewed research
Elastic pricing
No upfront costs, recurrent licensing fee. Pay-per-analysis model.
Expert Assistance
Over a decade of experience with biostatistcs, bioinformatics.
Accelerating OMics for your target vertical
Fields where our solution can provide an edge
Oncology
Perform integrated mRNA, Exome, copy number analysis for molecular classification to study the impact of tumor heterogeneity.
Infectious diseases
Perform Genome-to-Genome analysis by integrating clinical variables, such as viral load, together with host and pathogen data to delineate the biological impact of host--pathogen associations.
Genetics Research
Integrating multi-omics datasets to understand complex interactions between the molecular levels, perform pathway analysis,