The overarching goal of our work is to implement data analysis and informatics tools for integration of biological mass spectrometry data (proteomics and metabolomics) with genomic / transcriptomic information to
The overarching goal of our work is to implement data analysis and informatics tools for integration of biological mass spectrometry data (proteomics and metabolomics) with genomic / transcriptomic information to advance cancer research. We are utilizing the Galaxy platform and extending our earlier work developing Galaxy for proteomics (Galaxy-P project), to create a unified environment for implementing and disseminating multi-omic tools and validated workflows. The software resources and activities central to our work include: 1) Proteogenomics tools, which integrate genomic, transcriptomic and mass spectrometry-based proteomics data to characterize protein sequence variants contributing to cancer. This work includes development of tools for interpreting the impact of these variants, including a multi-omics visualization platform which acts as a Galaxy-plugin for visualizing proteogenomics results; 2) Metaproteomics tools, for characterizing proteins expressed by microbial communities found in host environments which may contribute to cancer development and/or progression, including advanced tools for visualizing and exploring taxonomy-function interactions which may drive host response; 3) Tool development for quantitative mass spectrometry-based metabolomics, which includes customized tools for advanced statistical analysis and also deploying new tools for metabolite identification from high-resolution mass spectrometry data; 4) A focus on dissemination activities, to promote our informatics resources to the cancer research community. This includes conducting training workshops, establishing online tutorials and documentation, and making software available and accessible through a variety of avenues, including publicly available gateways and via containers for local install. In this webinar, we will provide short demonstrations of these tools and workflows and their applications, and provide information how to access these resources.
The ITCR Program is a trans-NCI program supporting investigator-initiated, research-driven informatics technology development spanning all aspects of cancer research. The ITCR Program funds tools that support the analysis of -omics, imaging, and clinical data, as well as network biology and data standards. All of the tools are free for use by academic and non-profit researchers. Access to tools, code repositories, and introductory videos are available on the website itcr.cancergov/
(Sunday) 10:00 am - 11:00 am
CBIITCBIITDaoud Meerzaman, email@example.com