Archive: General Page

  • Poster Presentations

    2017 Transcriptome and Proteome Landscape of Melanoma from RNA Sequencing Analysis.  Chicago Mass Spectrometry Discussion Group Meeting. November 2017. Chicago, IL.  (Shaojun Tang) NeoantigenR:

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  • Training

    ICBI provides training modules for the following resources: Computational Resources for Immuno-OncologyBig Data in biomedical research: a user’s guideCRAVAT: a web tool to annotate and analyze can

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  • Seminar Series

    2018 November 9th, 2018: ICBI Monthly Seminar Series (Dr. Ancha Baranova: Biomarkers, the Lure, the Misery and the Way Out)Nov 7th 2018 Demystifying Biomedical Big Data: A User’s Guide WorkshopNov

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  • Clinical Research Management Systems

    ICBI provides support for clinical research at the Georgetown University Medical Center through the Clinical Research Management Office, which supports clinical trials within the Lombardi Comprehensi

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  • Applications

    We welcome you to collaborate with us in the testing and development of a new generation of data management, mining, and analysis tools to help with the “Big Data” challenge facing the genomic scient

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  • Program Leadership

    Peter McGarvey, PhD Director of ICBI, Professor of Biomedical InformaticsDr. Peter McGarvey is the Director of ICBI, and Research Associate Professor, Department of Biochemistry and Molecular

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  • Institutional Leadership

    Louis M. Weiner, MD Director, Georgetown Lombardi Comprehensive Cancer CenterProfessor and Chair, Department of OncologyFrancis L. and Charlotte G. Gragnani ChairGeorgetown University Medical

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  • ICBI Alumni

      Students Rebecca Fuchs MS was a Research Intern at ICBI in 2019 under the supervision of Dr. Yuriy Gusev. She performed exploratory research on Brain Cancer gene expression analysis using machine l

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  • Careers

    We are always looking for individuals who are enthusiastic, innovative thinkers, and who enjoy team-oriented research, to join our group. Outreach and Workforce Development Program Sp

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  • News

    2022 (Dec 2022) Our latest paper in Nature Communications (new window) regarding a large scale consortium effort to develop a #federated learning approach for AI models based on #braincancer#

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