Bioinformatics Shared Resource (BISR) The Bioinformatics Shared Resource (BISR) provides cutting-edge bioinformatics support and collaboration to advance cancer research at Norris Cotton Cancer Center (NCCC). Eight fulltime staff provide a variety of expertise and services, including applied bioinformatics and data mining, computer programming and software engineering, database development and administration, and high-performance computing and systems administration. Given the explosion of high-throughput data coming from genomics, proteomics and others areas, such as imaging, each of these services are essential to NCCC researchers. The BISR maintains a cutting-edge high-performance computing system called Discovery, that provides 2,000 processors to NCCC and Dartmouth community researchers. The resource has been utilized heavily for computationally intensive research by NCCC investigators. For example, Dr. Weaver, from Cancer Imaging & Radiobiology (CIR) has used it for simulating the Brownian motion of nanoparticles. The BISR is directed by Dr. Jason H. Moore, who serves as the Third Century Professor of Genetics and Director of the Institute for Quantitative Biomedical Sciences at Dartmouth College. Key staff members include Dr. Walter Taylor, who serves as the Managing Director of the BISR. He assists Dr. Moore with the day-to-day operation of the BISR, including meeting with faculty to assess bioinformatics support needs. Mr. Peter Schmitt, from the BISR, serves as the Technical Director of the Discovery cluster. The BISR has provided computational assistance and bioinformatics support for 37 members across all six of the NCCC Research Programs over the past year. These support activities range in scope from setting up workstations for the Cancer Control (CC) Program to developing novel machine-learning algorithms and software to support Cancer Epidemiology (CE). The BISR now provides a comprehensive set of services with appropriate support and computing infrastructure. As sources of funding have been identified, the staff of the BISR has grown to meet the demands created by emerging technologies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
3P30CA023108-39S5
Application #
9758105
Study Section
Subcommittee I - Transistion to Independence (NCI)
Program Officer
Belin, Precilla L
Project Start
Project End
2019-11-30
Budget Start
2017-12-01
Budget End
2018-11-30
Support Year
39
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
Ferreiro-Iglesias, Aida; Lesseur, Corina; McKay, James et al. (2018) Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 9:3927
Bronson, Mackenzie R; Kapadia, Nirav S; Austin, Andrea M et al. (2018) Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer. Med Care 56:e83-e89
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
Hancock, D B; Guo, Y; Reginsson, G W et al. (2018) Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Mol Psychiatry 23:1-9
Li, Yafang; Xiao, Xiangjun; Han, Younghun et al. (2018) Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population. Carcinogenesis 39:336-346
Gorlov, Ivan; Orlow, Irene; Ringelberg, Carol et al. (2018) Identification of gene expression levels in primary melanoma associated with clinically meaningful characteristics. Melanoma Res 28:380-389
Shiner, Brian; Westgate, Christine Leonard; Gui, Jiang et al. (2018) A Retrospective Comparative Effectiveness Study of Medications for Posttraumatic Stress Disorder in Routine Practice. J Clin Psychiatry 79:
Wu, Wenting; 23andMe Research Team; Amos, Christopher I et al. (2018) Inverse Relationship between Vitiligo-Related Genes and Skin Cancer Risk. J Invest Dermatol 138:2072-2075
Downey-Kopyscinski, Sondra; Daily, Ellen W; Gautier, Marc et al. (2018) An inhibitor of proteasome ?2 sites sensitizes myeloma cells to immunoproteasome inhibitors. Blood Adv 2:2443-2451
Varn, Frederick S; Tafe, Laura J; Amos, Christopher I et al. (2018) Computational immune profiling in lung adenocarcinoma reveals reproducible prognostic associations with implications for immunotherapy. Oncoimmunology 7:e1431084

Showing the most recent 10 out of 1911 publications