# Core 2: Bioinformatics/Biostatistics/Genomics

> **NIH NIH P01** · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · 2024 · $312,345

## Abstract

CORE 2 PROJECT SUMMARY
Key to this proposal is the inclusion of Core 2, which encompasses unified support for Bioinformatics,
Biostatistics, Genomics, Transcriptomics, and Computational Biology and the development of an integrated
analytical platform that will consolidate all the computational methods and tools developed or adapted to
accomplish each of the projects’ research agendas. Core 2 will provide support for both exploratory and
hypothesis-free analyses as well as for hypothesis-driven targeted identification of the molecules and pathways
identified in the research programs of each of the three projects. For example, a detailed analysis of the
sequencing data generated by the projects will reveal the changes in the somatic mutations, driver mutations,
clonal evolution, and mutational signatures due to hypernutrition and metabolic stress. This core will also
maintain a database linking all the biospecimens, organoids, PDOXs, and the associated data from all projects
and cores. As the different projects generate data, this core will integrate the data with analysis modalities to
identify, e.g., novel pathways and cross-talk between NRF2, ATF6, SAB, and other identified biomarkers.

## Key facts

- **NIH application ID:** 10935869
- **Project number:** 1P01CA281819-01A1
- **Recipient organization:** SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE
- **Principal Investigator:** Pablo Tamayo
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $312,345
- **Award type:** 1
- **Project period:** 2024-09-09 → 2029-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10935869

## Citation

> US National Institutes of Health, RePORTER application 10935869, Core 2: Bioinformatics/Biostatistics/Genomics (1P01CA281819-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10935869. Licensed CC0.

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