The Biomedical Informatics Shared Resource (BISR), a new Shared Resource of the NYU Cancer Institute (NYUCI), aims to provide to all members of the NYUCI rapid, high-quality, and cost-effective access to state of- the-art and novel bioinformatics and medical informatics methods, tools, infrastructure and expert consulting/analyses as well as broader collaborative science opportunities with highly qualified informatics faculty. The BISR is leveraged by the launching and development since 2009 of the NYU Center for Health Informatics and Bioinformatics (CHIBI), which provides BISR with: a large and high-impact faculty with expertise in all aspects of bioinformatics and medical informatics;a High Performance Computing Facility (HPC), 7 informatics methods development labs, a full range of educational activities, full informatics support of high throughput assays, and the Best Practices Integrative Informatics Consulting core (BPIC) BISR will offer the following informatics services, and resources: BISR faculty and staff embedded in the NYUCI;dedicated NYUCI member access consulting faculty within a branch of BPIC specifically devoted to cancer research;dedicated access to HPC resources;and unlimited access to automated data analysis pipelines, software, best practices, educational and training seminars, courses and materials. BISR enforces diverse and strict QA operating procedures;it has numerous fruitful interactions with most NYUCI shared resources. Finally, BISR implements cost-effective chargeback and usage policies, is comprehensively advised by a User Advisory, and reports directly to the NYUCI director and executive advisory committee.

Public Health Relevance

Modem cancer research critically depends on advanced computing for experimental data generation, storage, and interpretation. The Biomedical Informatics Shared Resource provides cutting-edge computing and data storage infrastructure, along with human expert consulting and collaboration to Cancer Institute members in support of all aspects of their research.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA016087-33
Application #
8436451
Study Section
Subcommittee G - Education (NCI)
Project Start
2013-03-01
Project End
2018-02-28
Budget Start
2013-04-01
Budget End
2014-02-28
Support Year
33
Fiscal Year
2013
Total Cost
$157,507
Indirect Cost
$64,582
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Litwinoff, Evelyn M S; Gold, Merav Y; Singh, Karan et al. (2018) Myeloid ATG16L1 does not affect adipose tissue inflammation or body mass in mice fed high fat diet. Obes Res Clin Pract 12:174-186
Snetkova, Valentina; Skok, Jane A (2018) Enhancer talk. Epigenomics 10:483-498
Fan, Xiaozhou; Alekseyenko, Alexander V; Wu, Jing et al. (2018) Human oral microbiome and prospective risk for pancreatic cancer: a population-based nested case-control study. Gut 67:120-127
Gregory, Ann C; Sullivan, Matthew B; Segal, Leopoldo N et al. (2018) Smoking is associated with quantifiable differences in the human lung DNA virome and metabolome. Respir Res 19:174
Lee, Chul-Hwan; Holder, Marlene; Grau, Daniel et al. (2018) Distinct Stimulatory Mechanisms Regulate the Catalytic Activity of Polycomb Repressive Complex 2. Mol Cell 70:435-448.e5
Bertrand, Anne; Baron, Maria; Hoang, Dung M et al. (2018) In Vivo Evaluation of Neuronal Transport in Murine Models of Neurodegeneration Using Manganese-Enhanced MRI. Methods Mol Biol 1779:527-541
Taylor, Martin S; Altukhov, Ilya; Molloy, Kelly R et al. (2018) Dissection of affinity captured LINE-1 macromolecular complexes. Elife 7:
Wang, Sophia S; Carrington, Mary; Berndt, Sonja I et al. (2018) HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes. Cancer Res 78:4086-4096
Jung, Seungyoun; Allen, Naomi; Arslan, Alan A et al. (2018) Anti-Müllerian hormone and risk of ovarian cancer in nine cohorts. Int J Cancer 142:262-270
Gong, Yixiao; Lazaris, Charalampos; Sakellaropoulos, Theodore et al. (2018) Stratification of TAD boundaries reveals preferential insulation of super-enhancers by strong boundaries. Nat Commun 9:542

Showing the most recent 10 out of 1170 publications