Vladimir Kuznetsov, PhD
语言
WEB资源
RESEARCH PROGRAMS AND AFFILIATIONS
研究兴趣
Cancer systems biology, 生物信息学, big data and survival prediction analyses, predictive and personalized medicine, computational genome and transcriptome biology, 非b DNA结构, RNA, DNA杂交, R-loops, G-quadruplexes, ncRNAs, clinical biomarker discovery and validation
教育利益
Bioinformatics, computational and statistical genomics, systems biology of cancer
ASSOCIATIONS / MEMBERSHIPS
教育
研究抽象
Current research projects and focus areas: computational and systems biology of cancer, genome and transcriptome integrity and instability, statistical genomics and 生物信息学, secondary nucleic acid sequence structures, RNA-DNA hybrids and computational R-loop biology, non-coding DNA and RNA, single cell transcriptome kinetics, 多样性, 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.