From myopic, isolated analysis to
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
End-to-end automated, ready-to-deploy software pipelines.
Packaged using industry-standard container technologies
Modular pipeline stages targeted for specialized scenarios.
Based on cutting-edge, peer-reviewed research
No upfront costs, recurrent licensing fee. Pay-per-analysis model.
Over a decade of experience with biostatistcs, bioinformatics.
Perform integrated mRNA, Exome, copy number analysis for molecular classification to study the impact of tumor heterogeneity.
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.
Integrating multi-omics datasets to understand complex interactions between the molecular levels, perform pathway analysis,