# Data Core

> **NIH NIH U19** · SALK INSTITUTE FOR BIOLOGICAL STUDIES · 2021 · $550,818

## Abstract

Project Summary/Abstract
Leveraging existing informatics platforms from the Mouse Connectome Project at USC
(www.MouseConnectome.org) and from the Brainome Epigenomics Project at Salk/UCSD
(http://brainome.ucsd.edu/CEMBA/), the CEMBA Data Core aims to develop innovative informatics tools for the
collection, analysis, visualization, modeling, storage, and distribution of two major categories of cell-type
information: molecular signatures (Research Segment 1) and anatomy (Research Segment 2). A scalable
bioinformatics pipeline will be developed to collect, manage, analyze and visualize brain region-specific, whole-
genome DNA methylation and chromatin accessibility (ATAC-Seq) within the comprehensive context of the
mouse brain, achieving integration of cell type-specific molecular data with anatomical data. In parallel, the
CEMBA Data Core will develop a dynamic, web-based informatics platform that facilitates the collection,
analysis, and visualization of cell-type specific connectivity data. Further, the use of novel informatics tools will
enable synchronization of cell type-specific epigenetic networks with neural networks. Finally, all of these data
will be presented through intuitive online visualization tools, allowing users to view and analyze the information
within the Allen Reference Atlas neuroanatomy framework. The CEMBA-DC will be the primary point of contact
within the broader BICCN, including the Brain Cell Data Center (BCDC) U24 program. The CEMBA Data Core
will work together with the BCDC and other investigators to harmonize nomenclature and semantic structures.

## Key facts

- **NIH application ID:** 10168637
- **Project number:** 5U19MH114831-05
- **Recipient organization:** SALK INSTITUTE FOR BIOLOGICAL STUDIES
- **Principal Investigator:** Hong-Wei Dong
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $550,818
- **Award type:** 5
- **Project period:** 2017-09-20 → 2022-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10168637

## Citation

> US National Institutes of Health, RePORTER application 10168637, Data Core (5U19MH114831-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10168637. Licensed CC0.

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