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.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
Project #
Application #
Study Section
Subcommittee I - Career Development (NCI)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Dartmouth College
United States
Zip Code
Shee, Kevin; Jiang, Amanda; Varn, Frederick S et al. (2018) Cytokine sensitivity screening highlights BMP4 pathway signaling as a therapeutic opportunity in ER+ breast cancer. FASEB J :fj201801241R
Rodriguez-Garcia, Marta; Fortier, Jared M; Barr, Fiona D et al. (2018) Aging impacts CD103+ CD8+ T cell presence and induction by dendritic cells in the genital tract. Aging Cell 17:e12733
Shajani-Yi, Zahra; de Abreu, Francine B; Peterson, Jason D et al. (2018) Frequency of Somatic TP53 Mutations in Combination with Known Pathogenic Mutations in Colon Adenocarcinoma, Non-Small Cell Lung Carcinoma, and Gliomas as Identified by Next-Generation Sequencing. Neoplasia 20:256-262
Szczepiorkowski, Zbigniew M; Burnett, Christine A; Dumont, Larry J et al. (2018) Apheresis buffy coat collection without photoactivation has no effect on apoptosis, cell proliferation, and total viability of mononuclear cells collected using photopheresis systems. Transfusion 58:943-950
Bossé, Yohan; Amos, Christopher I (2018) A Decade of GWAS Results in Lung Cancer. Cancer Epidemiol Biomarkers Prev 27:363-379
Pande, Mala; Joon, Aron; Brewster, Abenaa M et al. (2018) Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies. PLoS One 13:e0196245
Smith, T Jarrod; Sondermann, Holger; O'Toole, George A (2018) Co-opting the Lap System of Pseudomonas fluorescens To Reversibly Customize Bacterial Cell Surfaces. ACS Synth Biol 7:2612-2617
Gorlova, Olga Y; Li, Yafang; Gorlov, Ivan et al. (2018) Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One 13:e0189498
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Cai, Yunliang; Wu, Shaoju; Zhao, Wei et al. (2018) Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS One 13:e0197992

Showing the most recent 10 out of 1911 publications