Vladimir Kuznetsov, PhD
RESEARCH PROGRAMS AND AFFILIATIONS
Cancer systems biology, bioinformatics, big data and survival prediction analyses, predictive and personalized medicine, computational genome and transcriptome biology, non-B DNA structures, RNA:DNA hybrids, R-loops, G-quadruplexes, ncRNAs, clinical biomarker discovery and validation
Bioinformatics, computational and statistical genomics, systems biology of cancer
ASSOCIATIONS / MEMBERSHIPS
Current research projects and focus areas: computational and systems biology of cancer, genome and transcriptome integrity and instability, statistical genomics and bioinformatics, secondary nucleic acid sequence structures, RNA-DNA hybrids and computational R-loop biology, non-coding DNA and RNA, single cell transcriptome kinetics, diversity, bifurcations in cell differentiation and proliferation, integrative sequence databases, big data and NGS data analytics strategies, quantitative oncoimmunology, methods for personalized cancer diagnostics and prognosis and non-invasive detection of malignancy, and the development of innovative methods of identification and validation of clinically relevant onco-markers.