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Institutes and Centers

Center for Technology and Behavioral Health Center for Quanititative Biology Norris Cotton Cancer Center (NCCC) The Dartmouth Institute for Health Policy and Clinical Practice (TDI) Center for Molecular Epidemiology Institute for Biomolecular Targeting

Cores

CQB Data Analytics Core CQB Single Cell Genomics Core CQB Research Administration and Mentoring Core DCCNE Biostatistics, Data Analysis, and Computation Core NCCC Bioinformatics Shared Resource NCCC Biostatistics Shared Resource

Institutes and Centers

Center for Technology and Behavioral Health

https://www.c4tbh.org The CTBH team shares a goal of harnessing existing and emerging technologies to effectively develop and deliver evidence-based interventions for substance use and co-occurring disorders. CTBH is organized into three primary cores: Treatment Development & Evaluation, Emerging Technologies & Data Analytics, and Dissemination & Implementation Core. Core activities focus on identifying and studying state-of-the-art issues related to technology-delivered therapeutic tools targeting behavioral health.

The Center for Quantitative Biology

https://sites.dartmouth.edu/cqb/ The Center for Quantitative Biology (CQB), to supports and enhances NIH-funded quantitative biological research at Dartmouth and to facilitates its integration with experimental biology. The CQB will draw upon faculty in the Arts & Sciences, Thayer School of Engineering, and the Geisel School of Medicine at Dartmouth. The Center will recruit and provide a cohesive community for diverse scientists with homes in departments spanning Geisel, Arts & Sciences and the Thayer School, including Biomedical Data Science, Molecular & Systems Biology, Biochemistry & Cell Biology, Epidemiology, Microbiology & Immunology, Biological Sciences, Computer Science and Mathematics. Through its emphasis on next-generation data, the CQB will bring together and enhance initiatives in computational biology, bioinformatics, and experimental genomics across Dartmouth.

Norris Cotton Cancer Center (NCCC)

http://www.cancer.dartmouth.edu/ Dartmouth-Hitchcock Norris Cotton Cancer Center provides the highest level of innovative, compassionate care for our patients, and contributes to solving the problems of cancer worldwide through research, new treatments, clinical trials, prevention, and community engagement.

The Dartmouth Institute for Health Policy and Clinical Practice (TDI)

http://tdi.dartmouth.edu/ The Dartmouth Institute for Health Policy and Clinical Practice (TDI) is home to an internationally renowned group of investigators in the area of health policy, practice variation, quality improvement, shared decision making, and population research. TDI offers two master's-level degrees (an MS and an MPH) and a PhD degree in health services research. It also houses and maintains NCPH and The Dartmouth Atlas, which has provided pioneering data and resources on regional variation in health care utilization, spending, and quality across the U.S.

Center for Molecular Epidemiology

https://geiselmed.dartmouth.edu/molecepi/ The Center for Molecular Epidemiology is an Institutional Development Award (IDeA), funded by the National Institutes of General Medical Sciences, that is transforming the research capacity at Dartmouth's Geisel School of Medicine by stimulating high impact research, and translating cutting-edge approaches to enhance human health discoveries. The five-year Centers of Biomedical Research Excellence (COBRE) grants support thematic, multidisciplinary centers that augment and strengthen institutional biomedical research capacity.

Institute for Biomolecular Targeting

https://sites.dartmouth.edu/biomt/ Biology We explore the operation and control phosphorylation and protein-protein interaction networks, conformational switches, microRNA regulatory pathways, and intracellular trafficking and degradation machineries. Mentoring We accelerate the research and career trajectories of students, post-docs, and junior faculty members. Targets We seek new therapeutic targets for brain cancer, colon cancer, pancreatic cancer, airway infection, and inflammation. Tools We integrate insights from protein biochemistry and engineering, biophysics, high-resolution microscopy, and chemical, structural and computational biology.  

Cores

CQB Data Analytics Core

https://sites.dartmouth.edu/cqb/projects-and-cores/data-analytics-core/ This Core develops and supports the development of novel approaches for the analysis of -omics data (with a focus on single-cell -omics data), and provides analytical and computational support for the research projects.

CQB Single Cell Genomics Core

https://sites.dartmouth.edu/cqb/projects-and-cores/single-cell-genomics-core/ This Core implements, maintains, and improves upon the technologies required to conduct SCG experiments in a rigorous and quality controlled manner.

CQB Research Administration and Mentoring Core

https://sites.dartmouth.edu/cqb/projects-and-cores/research-administration-and-mentoring-core/ The Research Administration and Mentoring Core provides leadership and general administration related to all aspects of the Center for Quantitative Biology (CQB) COBRE.

DCCNE Biostatistics, Data Analysis, and Computation Core

Eugene Demidenko, Ph.D. directs the Biostatistics, Data Analysis, and Computation (BDAC) Core for the Dartmouth Center of Cancer Nanotechnology Excellence (DCCNE). The BDAC Core provides state-of-the-art quantitative data analysis, physical modeling and numerical methods support to the DCCNE projects. Data analyses will focus on the characterization of magnetic nanoparticle properties, quantifying their distribution in tissue and assessing their treatment effect in animal experiments. Statistical considerations will require sophisticated and advanced techniques, including methods for spatial statistics and treatment of multidimensional sources of variation (e.g., variation in time from sample to sample and treatment response from individual to individual). BDAC Core personnel will work closely with project leaders to formulate criteria for validating models through statistical hypothesis testing and optimal design of experiments to achieve statistical significance. The core will also employ physical modeling and numerical methods in an effort to understand the electromagnetic interactions that occur when magnetic nanoparticles (having different physical properties) are placed in an alternating magnetic field in biological environments and, hence, investigate the impact that biological parameters (e.g., blood flow) are expected to have on the ability to increase tumor temperatures locally.

NCCC Bioinformatics Shared Resource

The primary mission of the Bioinformatics Shared Resource is to support the implementation of bioinformatics resources for cancer research at Dartmouth. Our goal is to provide expert consultation and collaboration for research projects of NCCC members. The Bioinformatics Shared Resource also strives to educate members of the community in different aspects of computational biology by providing regular workshops and seminars. We provide a wide range of different services including applied bioinformatics and data mining, computer programming and software engineering, database development and programming and high-performance computing and systems administration. We look forward to helping you plan, execute, analyze and interpret your next biomedical research study.

NCCC Biostatistics Shared Resource

The Biostatistics Shared Resource (BSR) provides scientific interpretation for all statistical analyses. All initial consultations are free. More extensive efforts may require additional funding depending on how much time is required. The GeoSpatial Section provides expert consultation and collaboration for research projects in behavior, epidemiology, health services and other disciplines. (see link below), The primary mission of the Biostatistics Shared Resource is to improve the statistical aspects of cancer research at Dartmouth by providing expert statistical collaboration for research projects of Cancer Center members. Because every aspect of cancer research involves data, all research programs potentially may require the participation of the BSR. Areas of special faculty expertise include clinical trial design, longitudinal data, statistical methods for genomics and managing data, measurement error methods, nonlinear dose response modeling, quality of life data, decision sciences, cost effectiveness analysis, and diagnostic test assessment. Faculty and staff offices are located on the 8th floor of the Rubin building at Dartmouth-Hitchcock Medical Center (DHMC). The BSR maintains an extensive statistical software library providing access to all major statistical analysis platforms. Server and network access are provided through Cancer Center administration, DHMC, and Dartmouth College. The BSR collaborates closely with other shared resources for project development and monitoring through the Office of Clinical Research, and the Integrative Biology and Experimental and Translational Models Shared Resources.