Modern clinical trials generate massive datasets—DNA/RNA sequencing, gene expression profiles, high-parameter flow cytometry, and more. Analyzing these requires specialized expertise and high-performance computing. Our team helps sponsors uncover patterns, predict outcomes, and accelerate drug development.
Molecular and phenotypic data integration
Transcriptomics and structural biology
Advanced flow cytometry analytics
NGS Data Processing – RNASeq, WES, ctDNA, cfDNA, WGBS
Reporting – Viral gene-variant reporting per DAVP guidelines
Omics Analysis – Genomics, metagenomics, proteomics, metabolomics
Predictive Modeling – Clinical data-driven disease and outcome prediction
Medical Image Analysis – Tumor biopsy and histology images
Temporal Data Analysis – Pattern recognition in time-series clinical trial data
Unsupervised High-Dimensional Analysis – RNASeq and flow cytometry