Research & Publications
Pioneering research in genomics, bioinformatics, and computational biology from our team of scientists and collaborators.
GPU-Accelerated Deep Learning for Accurate Variant Calling in Whole-Genome Sequencing Data
This whitepaper details a novel deep learning architecture that leverages NVIDIA Parabricks for ultra-fast and highly accurate germline and somatic variant calling, significantly reducing analysis time from days to hours.
Research Areas
Our core areas of focus in computational biology and bioinformatics
Genomics & Sequencing
WGS, WES, RNA-Seq, and single-cell sequencing analysis pipelines.
Drug Discovery
Target identification, molecular docking, and in silico drug repurposing.
AI/ML in Bioinformatics
Deep learning for disease prediction, variant classification, and biomarker discovery.
Spatial Transcriptomics
Analysis of gene expression in the context of tissue architecture.
Proteomics & Metabolomics
Mass spectrometry data analysis and multi-omics integration.
Cancer Genomics
Tumor profiling, liquid biopsy analysis, and neoantigen prediction.
Recent Publications
Our latest contributions to the field of bioinformatics
Research Partnerships
Collaborating with leading academic and research institutions worldwide