Bioinformatics for Immuno-Oncology and Translational Research
Yuriy Gusev, Ph.D., Associate Professor, Innovations Center for Biomedical Informatics (ICBI), Georgetown University Medical Center (Confirmed)
In this course, we will cover major applications of Big Data, bioinformatics and systems biology for immuno-oncology research and development with major focus on translational research. We will provide a brief user’s guide to open access on-line resources and tools as well as overview of state of the art methodologies and approaches to leveraging and integrating a vast amount of information available through genome wide molecular profiling, next-generation sequencing, image analysis etc. Several case studies and brief live demos will be presented to illustrate importance and added value of integrative bioinformatics analysis for immuno-oncology.
Topics to be covered in the course include:
- Overview of major applications of bioinformatics methodology in immuno-oncology
- Open access bioinformatics databases and tools available for immuno-oncology research
- Case-studies for multi-omics integrative analysis in human cancers with immunology connection
- Short live demo of online resources and tools
- Future directions for immuno-oncology informatics
Yuriy Gusev, Ph.D., Associate Professor, Innovations Center for Biomedical Informatics (ICBI), Georgetown University Medical Center
Dr. Yuriy Gusev is an associate professor at Innovation Center for Biomedical Informatics (ICBI) at Georgetown University in Washington DC. He is conducting bioinformatics research for collaborative translational research projects with focus on GI cancers, Breast Cancer, Prostate Cancer and several others. He is providing graduate and undergraduate level teaching as well as professional training for faculty and staff at Georgetown University Medical Center as well as online training. Dr Gusev has been leading a team of data scientists and bioinformaticians in developing data analysis pipelines of omics data analysis and integration with clinical information for the Georgetown Database of Cancer (G-DOC); NCI In Silico Research Center of Excellence (ISRCE); NCI funded Center for Cancer Systems Biology (CCSB) and recently funded projects for NIH BD2K program. He has developed and currently co-directing a massive open on-line course at EdX platform entitled: "Demystifying Biomedical Big Data: A User’s Guide"