Dartmouth Training Program in Quantitative Cancer Research
达特茅斯定量癌症研究培训计划
基本信息
- 批准号:10555367
- 负责人:
- 金额:$ 21.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
ABSTRACT
Continued support is requested for a multidisciplinary Dartmouth Training Program in Quantitative Cancer
Research (TQCR). The TQCR Program seeks to provide cross-training in quantitative, computational, and
biomedical sciences to prepare students for the emergent cancer research landscape that is increasingly
characterized by complex problems, big data, and multidisciplinary teams. At Dartmouth, the TQCR Program
will enlist graduate student trainees from different academic backgrounds, including computer science,
mathematics, biology, chemistry, and engineering who are committed to cancer-centered research activities with
a strong quantitative component. These graduate student candidates for TQCR support will be recruited broadly
from cancer-focused research laboratories across four graduate programs at Dartmouth: The Geisel School of
Medicine’s Molecular & Cellular Biology and Quantitative Biomedical Sciences PhD Programs, The Thayer
School of Engineering’s PhD program, and The School of Arts and Sciences Computer Science PhD Program.
Faculty mentors include quantitative scientists with significant extramural funding and a strong track records of
graduate training experience and biomedical research. Research areas of the faculty include quantitative
methodology and scientific applications in bioinformatics, biostatistics, computer science, computational biology,
genomics, and epidemiology. Selected TQCR students will engage in a cancer-specific, quantitative curriculum
that includes courses in computer science, bioinformatics, biostatistics, epidemiology, cancer biology and
integrative biomedical sciences, exposing them to both interdisciplinary research and quantitative methodology
development over the course of a 2-year fellowship period. This reflects our institution’s long history of
exceptionally strong cancer research and clinical programs, largely based on the success of our comprehensive,
NCI-designated Norris Cotton Cancer Center. It is our vision that the next generation of quantitative researchers
requires comprehensive interdisciplinary training to contribute meaningfully to future progress in understanding,
preventing, and treating cancer.
摘要
要求继续支持多学科达特茅斯定量癌症培训计划
研究(TQCR)。TQCR计划旨在提供定量,计算和
生物医学科学为学生准备的新兴癌症研究景观,越来越多的
以复杂问题、大数据和多学科团队为特征。在达特茅斯,TQCR项目
将招募来自不同学术背景的研究生学员,包括计算机科学,
数学,生物学,化学和工程谁致力于癌症为中心的研究活动,
一个强有力的数量组成部分。这些研究生候选人的TQCR支持将广泛招募
来自达特茅斯四个研究生项目的癌症研究实验室:
医学分子与细胞生物学和定量生物医学博士课程,塞耶
工程学院博士课程和艺术与科学学院计算机科学博士课程。
教师导师包括定量科学家,他们拥有大量的校外资金和良好的跟踪记录,
研究生培训经验和生物医学研究。该学院的研究领域包括定量
生物信息学,生物统计学,计算机科学,计算生物学,
基因组学和流行病学。选定的TQCR学生将参加癌症特异性的定量课程
包括计算机科学、生物信息学、生物统计学、流行病学、癌症生物学和
综合生物医学科学,使他们接触到跨学科研究和定量方法
在为期两年的研究金期间的发展。这反映了我们机构的悠久历史,
非常强大的癌症研究和临床计划,主要是基于我们的综合,
NCI指定的诺里斯棉花癌症中心。我们的愿景是,下一代定量研究人员
需要全面的跨学科培训,以便为未来的理解进步做出有意义的贡献,
预防和治疗癌症。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Scott A. Gerber其他文献
Merging single-track location Elastographic imaging with the frequency shift method improves shear wave attenuation measurements
将单轨位置弹性成像与频移方法相结合可改善剪切波衰减测量
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:7.5
- 作者:
Reem Mislati;Katia T. Iliza;Scott A. Gerber;Marvin M. Doyley - 通讯作者:
Marvin M. Doyley
Pulsed Terahertz Time Domain Spectroscopy for Evaluating Treatment Efficacy: Initial Validation in Monitoring Pancreatic Ductal Adenocarcinoma
用于评估治疗效果的脉冲太赫兹时域光谱:监测胰腺导管腺癌的初步验证
- DOI:
10.1109/irmmw-thz57677.2023.10299002 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
D. Chakraborty;Bradley N. Mills;Jing Cheng;I. Komissarov;Scott A. Gerber;Roman Sobolewski - 通讯作者:
Roman Sobolewski
Whole mount immunofluorescence of the human placenta
- DOI:
10.1016/j.placenta.2015.01.390 - 发表时间:
2015-04-01 - 期刊:
- 影响因子:
- 作者:
Shawn P. Murphy;Meghan E. Bushway;Paula Zozzaro-Smith;Ian D. Perry;Scott A. Gerber;Richard K. Miller;Edith M. Lord - 通讯作者:
Edith M. Lord
Metabolic phosphatase moonlights for proteins
代谢磷酸酶具有蛋白质的双重功能
- DOI:
10.1038/s41556-022-00993-x - 发表时间:
2022-10-20 - 期刊:
- 影响因子:19.100
- 作者:
Scott A. Gerber;Arminja N. Kettenbach - 通讯作者:
Arminja N. Kettenbach
Scott A. Gerber的其他文献
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{{ truncateString('Scott A. Gerber', 18)}}的其他基金
Proteomics approaches for illuminating the functions of the dark kinases Nek6, Nek7 & Nek9
阐明暗激酶 Nek6、Nek7 功能的蛋白质组学方法
- 批准号:
10216469 - 财政年份:2021
- 资助金额:
$ 21.44万 - 项目类别:
Activity based profiling of Phosphoprotein phosphatases in cancer using mass spectrometry-based proteomics
使用基于质谱的蛋白质组学对癌症中磷蛋白磷酸酶进行基于活性的分析
- 批准号:
10207537 - 财政年份:2019
- 资助金额:
$ 21.44万 - 项目类别:
Activity based profiling of Phosphoprotein phosphatases in cancer using mass spectrometry-based proteomics
使用基于质谱的蛋白质组学对癌症中磷蛋白磷酸酶进行基于活性的分析
- 批准号:
9917701 - 财政年份:2019
- 资助金额:
$ 21.44万 - 项目类别:
Defining human kinase-substrate networks and their dynamic regulation
定义人类激酶底物网络及其动态调节
- 批准号:
9456951 - 财政年份:2017
- 资助金额:
$ 21.44万 - 项目类别:
Defining human kinase-substrate networks and their dynamic regulation
定义人类激酶底物网络及其动态调节
- 批准号:
9752607 - 财政年份:2017
- 资助金额:
$ 21.44万 - 项目类别:
Administrative supplement for Fusion Lumos mass spectrometer
Fusion Lumos 质谱仪的行政补充
- 批准号:
9708201 - 财政年份:2017
- 资助金额:
$ 21.44万 - 项目类别:
Defining human kinase-substrate networks and their dynamic regulation
定义人类激酶底物网络及其动态调节
- 批准号:
9980956 - 财政年份:2017
- 资助金额:
$ 21.44万 - 项目类别:
LC-Orbitrap MS/MS System for shotgun Proteomics at Dartmouth
达特茅斯用于鸟枪蛋白质组学的 LC-Orbitrap MS/MS 系统
- 批准号:
8447223 - 财政年份:2013
- 资助金额:
$ 21.44万 - 项目类别:














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