# Analytics Core

> **NIH NIH P20** · DARTMOUTH COLLEGE · 2021 · $337,291

## 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:** 10212413
- **Project number:** 5P20GM130454-03
- **Recipient organization:** DARTMOUTH COLLEGE
- **Principal Investigator:** IVAN P GORLOV
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $337,291
- **Award type:** 5
- **Project period:** 2019-08-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10212413

## Citation

> US National Institutes of Health, RePORTER application 10212413, Analytics Core (5P20GM130454-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10212413. Licensed CC0.

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