# Analytics Core

> **NIH NIH P20** · DARTMOUTH COLLEGE · 2022 · $293,991

## Abstract

PROJECT SUMMARY 
The new frontier in “-omics” is represented by high-throughput analyses of individual cells. These single-celled, 
high-throughput technologies are being developed for many areas, including imaging, mass spectrometry, and 
DNA- and RNA-sequencing. Even though single-cell -omics studies are in their relative infancy, they have 
already revealed new insights behind gene regulation and the etiology of human diseases, including cancer 
and cell-to-cell interactions. Single-cell -omics methods are especially suited for complex analyses of 
heterogeneous cell populations involved in disease or phenotypes. 
 The goal of this Core (Analytics) is to develop and to support the development of novel approaches for the 
analysis of -omics data (with a focus on single-cell -omics data), and to provide analytical and computational 
support for the research projects. This goal requires the integration, maintenance, and adequate statistical 
analysis of disparate high-dimensional data, arising from: (i) high-throughput analyses proposed by research 
projects of this COBRE; and (ii) publicly available databases. Utilization of publicly available -omics data is 
important for validating the interpretation and prioritization of the findings from individual studies. The “-omics 
revolution” has already generated a massive (and still growing) volume of data that mostly remains a “hidden 
treasure”; this resource is particularly valuable for re-mining and for asking new questions of old data. By using 
already available -omics data, this Core aims to put this hidden treasure to work. The use of high-dimensional 
data requires the capacity to obtain, retrieve, store, track, curate, and process information in a rapid and 
efficient manner. 
 The members of this Core have extensive expertise and interests that unite their activities among the 
projects. This Core will enable a robust and profound level of support for research that could not otherwise be 
achieved. Bioinformatics and biostatistical design and analysis are critical for the planning of large projects 
proposed in this COBRE; this Core will provide an environment for coordinating research across the program 
project, and to identify and apply state-of-the-art statistical and computational methods.

## Key facts

- **NIH application ID:** 10434071
- **Project number:** 5P20GM130454-04
- **Recipient organization:** DARTMOUTH COLLEGE
- **Principal Investigator:** IVAN P GORLOV
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $293,991
- **Award type:** 5
- **Project period:** 2019-08-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10434071

## Citation

> US National Institutes of Health, RePORTER application 10434071, Analytics Core (5P20GM130454-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10434071. Licensed CC0.

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