Computational biology, from raw sequence to interpretable function.
AlgoGenomics is an independent bioinformatics and computational-biology practice. It builds software that consolidates the scattered public record of protein function — and the DNA that codes for it — into tools that researchers and clinicians can rely on.
Yevgeniy “Eugene” Antipin
Fifteen years turning genomic and protein data into tools clinicians and researchers rely on — across cancer diagnostics, variant interpretation, and machine learning for drug discovery — is what motivated AlgoGenomics. Earlier, Eugene developed MutationAssessor — a widely used, evolution-based method for scoring the functional impact of cancer mutations. First released in the context of The Cancer Genome Atlas, it is now integrated into cBioPortal, where it serves impact scores for ~4 million somatic mutations across 320,000+ tumor samples.
Full background, experience & publications →The Protein Function Genome Browser
PFGB brings everything known about a protein into one view — its gene, domains, modifications, variation, homology and 3D structure, all layered beneath a single reference sequence.
Consolidating 16 public databases into one coordinate frame, it lets you zoom from a chromosomal locus down to the function of a single residue — without leaving the page.
Let’s talk.
Reach out about collaborations, consulting, or a walkthrough of the Protein Function Genome Browser. Based in New York.