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NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH · NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH

Data Science Core for Biomedical Research

Petereit, Julia (Contact)·UNIVERSITY OF NEVADA RENO, NV·2001–2027·ACTIVE
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INSTITUTION

UNIVERSITY OF NEVADA RENO, NV

PRINCIPAL INVESTIGATOR

Petereit, Julia (Contact)

FUNDING

$404K

YEAR

2001

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Abstract

Data Science Core for Biomedical Research - Abstract The NV INBRE Data Science Core for Biomedical Research is a biomedical research resource hub for all statewide researchers at any level including undergraduates. The goals of core include 1) support the generation and analysis of new omics datasets with a focus on Cell Growth and Differentiation; 2) train the next generation of researchers in bioinformatics and data science; 3) build upon the existing research infrastructure within Nevada and across the Mountain West by creating new partnerships; 4) strengthen the Nevada research network by collaborating with other IDeA programs such as COBREs and the MW CTR-IN; 5) provide resources for big data sharing and cloud computing; 6) support new research endeavors, manuscript preparation, and grant proposals; 7) assist in new scientific services such as neuroimaging analysis, single-cell sequencing, advance proteomics analyses, and machine learning applications; 8) coordinate outreach events with all partner institutions; 9) support undergraduate research efforts, and 10) support K12 STEM education. These goals will be accomplished by closely working with the Administrative Core, leveraging five NV INBRE- supported core facilities, and collaborating with faculty at all partner institutions. The core will assemble a statewide steering committee to oversee the core’s activities, and provide recommendations for overall priorities and new efforts.

NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESP20ZGM1-RCB-9educationincludetrainexistinglevelresearchersprioritiesadvancecollaboratingbioinformaticsendeavorscloselydifferentiationoverallactivitiesoutreachsupportedmachineneuroimagingsequencing

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