# Genetics, Genomics and Bioinformatics (Core B)

> **NIH NIH U54** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2020 · $119,445

## Abstract

CORE B: Abstract 
The Genetics, Genomics, and Informatics Core focuses on the application of genome-level 
analyses in neuroscientific investigation, both at the sequence (genetic), and gene expression 
and epigenetic (genomics) levels. The explosion of next-generation sequencing-based methods 
has made advanced computational expertise and infrastructure needed for all sequencing- 
based applications. 
The proposed Core aims at providing support for basic and advanced genetics and genomics 
experiments in both patient cohorts for translational studies and experimental models for basic 
research. Modern genetic and genomic approaches, including epigenetics, rely on sequencing 
technology and require substantial bioinformatics expertise and access to solid computational 
resources. This core leverages a proven history of expertise, as well as support and 
collaboration with other investigators in the Coppola and Geschwind groups with regards to 
computational and informatics resources funded by NIH and private foundations. Based on this 
proven track record, Core E will provide IDDRC investigators with the necessary expertise and 
infrastructure to perform high-throughput, genome-wide genetic and genomic studies. State-of- 
the-art analytical methods being developed within the NINDS-funded UCLA Informatics Center 
for Neurogenetics and Neurogenomics (ICNN, co-directed by Dr. Coppola) will be used to 
analyze NGS, gene expression, and methylation data, and the resulting datasets will be posted 
onto a database accessible to IDDRC investigators, facilitating data sharing and collaborative 
analyses. Over the past 10 years UCLA computational biologists and statisticians have lead the 
field of integrative data analysis (Geschwind and Konopka, 2009) and network-based methods 
[Zhang and Horvath 2005; Oldham et al. 2008; Parikshak et al. 2013]. Expertise in the 
development and implementation of these methods (including single-cell analysis, network 
methods, and integrative approaches), will be made directly available to IDDRC investigators.

## Key facts

- **NIH application ID:** 9836705
- **Project number:** 5U54HD087101-05
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Giovanni Coppola
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $119,445
- **Award type:** 5
- **Project period:** — → 2020-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9836705

## Citation

> US National Institutes of Health, RePORTER application 9836705, Genetics, Genomics and Bioinformatics (Core B) (5U54HD087101-05). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/9836705. Licensed CC0.

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