Core C: Informatics-Genomics-Biostats Core

$194,375P01FY2025CANIH

Washington University, Saint Louis MO

Investigators

Linked publications, trials & patents

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Abstract

PROJECT SUMMARY/ABSTRACT - CORE C The Informatics, Genomics, and Biostatistics Core (Core C) is a vital new addition to the Program Project Grant (PPG) dedicated to unraveling the complexities of HTLV-1-induced adult T cell leukemia/lymphoma (ATLL). As the research within the PPG advances to include sophisticated multi-omics techniques, Core C will provide comprehensive bioinformatics and biostatistics support, essential for the success of all three interconnected projects. The Bioinformatics component of the Core will support each project by offering expertise in study design, omics data integration, data analysis, and visualization, as well as in the development of new computational pipelines tailored to the specific needs of ATLL research. The Core's bioinformatics team, experienced in genomics, transcriptomics, epigenomics, and single-cell RNA analysis, will leverage advanced tools and techniques established in their labs. The Biostatistics component will ensure that robust statistical methods are applied across all stages of the research process, from study design to final data analysis. This includes the use of linear mixed models, ANOVA, and other advanced statistical techniques to handle the complex experimental designs and large datasets generated by each project. AIM 1. Provide bioinformatics and biostatistics support for PPG projects to ensure that robust statistical methods and reproducible omics analyses are employed. AIM 2. Provide bioinformatics and biostatistical training to Project lab trainees. AIM 3. Development of new bioinformatics methods and algorithms needed to support or that derive from Project analysis. Integration of viral and host multi-omics data at the single cell level is one example where new methods will be created to drive the field forward. These efforts will include the integration of viral and host multi-omics data at the single-cell level, providing new insights into the mechanisms of viral pathogenesis and the development of novel therapeutic strategies. Through these initiatives, Core C will play a central role in advancing the scientific goals of the PPG and contributing to the broader field of cancer genomics.

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