and Relevance: Genome-wide approaches involving NextGen sequencing efforts are becoming standard in neuroscience and other disciplines. As a consequence, infrastructure to support such efforts is critical for contemporary neuroscience research. During the first two cycles of NINDS funding, the CNR Computational Genomics Core (CGC) has assembled personnel, lab space, equipment, and software for qRT-PCR and the analysis of gene expression using microarray-based methods. In the next funding cycle, the CGC will continue to provide support for these efforts. In addition, the core will expand computational approaches by completing a standardized pipeline for NextGen (RNA-seq)-based approaches. Development of hardware and software to support such computational analyses will be undertaken as a joint venture with Tufts University Information Technology (UIT;see Section C5.3d). To further support RNA-seq methodology for neuroscientists, the CGC will introduce a new service for the generation of NextGen sequencing libraries. Support for NextGen sequencing, but not library preparation, already exists within another Tufts core (the Tufts University Core Facility;TUCF). Notably, the CGC remains one of the few shared resources within Tufts University and Tufts Medical Center supporting genomics approaches. Thus, the CGC is critical for evolving genome-wide analyses within Tufts Neuroscience as well as other university programs. The core has been used by 28 Tufts neuroscientists including 6 NINDS-funded investigators during this funding cycle (see later sections).

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Center Core Grants (P30)
Project #
2P30NS047243-11
Application #
8787522
Study Section
Special Emphasis Panel (ZNS1)
Project Start
Project End
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
11
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Tufts University
Department
Type
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02111
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