Tri-Institutional PhD Program in Computational Biology and Medicine

计算生物学和医学三机构博士项目

基本信息

  • 批准号:
    10662380
  • 负责人:
  • 金额:
    $ 53.05万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

Project Summary/Abstract The Tri-Institutional Training Program in Computational Biology and Medicine (CBM) takes advantage of the outstanding educational and research resources of Cornell University in Ithaca, NY, the Weill Cornell Medical College in New York City, and the research programs of Memorial Sloan Kettering Cancer Center in New York City to train computational biologists in the approaches they need to solve complex interdisciplinary biomedical problems. The CBM Program is characterized by: • coursework in both quantitative and biological sciences; • research rotations to enable a well-informed thesis topic selection; • mentored thesis research in one of a diverse array of basic to translational laboratories; • trainee Research-in-Progress seminar series to enhance program cohesion, foster fluency in relevant disciplines, and provide opportunities for scientific presentation practice; • training and mentorship in performing rigorous and reproducible scientific research; • an array of programmatic enrichment activities, including an annual offsite retreat at which students present their work and meet alumni, lunches with visiting seminar speakers, fellowship and manuscript writing training, and annual refreshers in RCR and reproducible research practices; • active guidance and mentoring via annual formal meetings with program co-Directors, biannual thesis committee meetings that include career discussions, and annual IDPs; • exposure to various career paths for successful transition into the biomedical research workforce. The Program, which is well established in its 16th year, has an expanding record of training success, including timely graduation and a strong record of placing graduates in research-related careers both in and outside academia. With this proposal, we are requesting 8 T32 slots (compared to 9 slots in our previous T32), which is well justified by the deep pool of highly qualified training-grant eligible applicants, large array of cutting-edge thesis research opportunities with leading faculty scientists, and the training enrichment that is inherent to an increased critical mass of students. The requested T32 funding would greatly aid the CBM program in continuing to achieve its mission of excellence in training a diverse next generation of scientists to rigorously and reproducibly develop and apply computational and analytical methods to solve complex problems in biology and medicine and to prepare them for research-related academic and non-academic careers following timely completion of their PhD degrees.
项目摘要/摘要 计算生物学和医学三机构培训计划(CBM)利用 纽约州伊萨卡市康奈尔大学杰出的教育和研究资源 纽约市医学院和纪念斯隆·凯特琳癌症中心的研究项目 在纽约市培训计算生物学家,教他们解决复杂问题所需的方法 跨学科的生物医学问题。CBM计划的特点是: ·定量科学和生物科学的课程; ·研究轮换,以便进行信息灵通的论文选题; ·在一系列不同的基础实验室和翻译实验室之一进行论文指导研究; ·实习生正在进行的研究系列研讨会,以增强计划的凝聚力,促进 相关学科,并为科学演讲实践提供机会; ·进行严谨和可重复的科学研究方面的培训和指导; ·一系列方案充实活动,包括每年一次的场外务虚会,学生 介绍他们的工作,会见校友,与来访的研讨会演讲者共进午餐,团契和 手稿写作培训,并每年更新RCR和可复制的研究做法; ·通过与计划联合主任举行的年度正式会议进行积极的指导和指导,每两年举行一次 论文委员会会议,包括职业讨论和国内流离失所者年度会议; ·接触各种职业道路,成功过渡到生物医学研究队伍。 该计划在第16个年头已经建立得很好,培训成功的记录不断扩大, 包括及时毕业和将毕业生安排在与研究相关的职业中的良好记录 以及学术界以外的。在此建议中,我们需要8个T32插槽(相比之下,我们的 以前的T32),这是很有理由的,因为有大量高素质的培训赠款合格申请者, 大量尖端论文研究机会与领先的教职员工科学家,以及培训 学生数量增加所固有的丰富性。 所要求的T32资金将极大地帮助CBM计划继续实现其任务 卓越地培养多样化的下一代科学家,以严格和可重复的方式开发和 应用计算和分析方法解决生物和医学中的复杂问题 在及时完成学业后,为与研究相关的学术和非学术职业做好准备 博士学位。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Homing in on genomic instability as a therapeutic target in cancer.
  • DOI:
    10.1038/s41467-021-23965-5
  • 发表时间:
    2021-06-16
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Bielski CM;Taylor BS
  • 通讯作者:
    Taylor BS
Primary Tumor Location and Outcomes After Cytoreductive Surgery and Intraperitoneal Chemotherapy for Peritoneal Metastases of Colorectal Origin.
细胞减少手术后的原发性肿瘤位置和结局和结直肠内腹膜转移的腹膜内化学疗法。
  • DOI:
    10.1245/s10434-020-08993-7
  • 发表时间:
    2021-03
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Adileh M;Yuval JB;Walch HS;Chatila WK;Yaeger R;Garcia-Aguilar J;Schultz N;Paty PB;Cercek A;Nash GM
  • 通讯作者:
    Nash GM
Targeted Molecular Profiling of Circulating Cell-Free DNA in Patients With Advanced Hepatocellular Carcinoma.
  • DOI:
    10.1200/po.23.00272
  • 发表时间:
    2023-09
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Darren Cowzer;Jessica B White;J. Chou;Pin-Jung Chen;Tae-Hyung Kim;D. Khalil;I. El Dika;Katrina Columna;A. Yaqubie;Joseph S Light;J. Shia;H. Yarmohammadi;J. Erinjeri;Alice C. Wei;W. Jarnagin;Richard K G Do;D. Solit;M. Capanu;Ronak H. Shah;M. Berger;G. Abou-Alfa;J. Harding
  • 通讯作者:
    Darren Cowzer;Jessica B White;J. Chou;Pin-Jung Chen;Tae-Hyung Kim;D. Khalil;I. El Dika;Katrina Columna;A. Yaqubie;Joseph S Light;J. Shia;H. Yarmohammadi;J. Erinjeri;Alice C. Wei;W. Jarnagin;Richard K G Do;D. Solit;M. Capanu;Ronak H. Shah;M. Berger;G. Abou-Alfa;J. Harding
Microenvironment-Driven Dynamic Chromatin Changes in Glioblastoma Recapitulate Early Neural Development at Single-Cell Resolution.
胶质母细胞瘤中微环境驱动的动态染色质变化以单细胞分辨率重现早期神经发育。
  • DOI:
    10.1158/0008-5472.can-22-2872
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    11.2
  • 作者:
    Pine,AllisonR;Cirigliano,StefanoM;Singhania,Richa;Nicholson,James;daSilva,Bárbara;Leslie,ChristinaS;Fine,HowardA
  • 通讯作者:
    Fine,HowardA
Genomic and transcriptomic determinants of response to neoadjuvant therapy in rectal cancer.
  • DOI:
    10.1038/s41591-022-01930-z
  • 发表时间:
    2022-08
  • 期刊:
  • 影响因子:
    82.9
  • 作者:
    Chatila, Walid K.;Kim, Jin K.;Walch, Henry;Marco, Michael R.;Chen, Chin-Tung;Wu, Fan;Omer, Dana M.;Khalil, Danny N.;Ganesh, Karuna;Qu, Xuan;Luthra, Anisha;Choi, Seo-Hyun;Ho, Yu-Jui;Kundra, Ritika;Groves, Katharine I.;Chow, Oliver S.;Cercek, Andrea;Weiser, Martin R.;Widmar, Maria;Wei, Iris H.;Pappou, Emmanouil P.;Nash, Garrett M.;Paty, Philip B.;Shi, Qian;Vakiani, Efsevia;Duygu Selcuklu, S.;Donoghue, Mark T. A.;Solit, David B.;Berger, Michael F.;Shia, Jinru;Pelossof, Raphael;Romesser, Paul B.;Yaeger, Rona;Smith, J. Joshua;Schultz, Nikolaus;Sanchez-Vega, Francisco;Garcia-Aguilar, Julio
  • 通讯作者:
    Garcia-Aguilar, Julio
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EKTA KHURANA其他文献

EKTA KHURANA的其他文献

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{{ truncateString('EKTA KHURANA', 18)}}的其他基金

Tri-Institutional PhD Program in Computational Biology and Medicine
计算生物学和医学三机构博士项目
  • 批准号:
    10198949
  • 财政年份:
    2020
  • 资助金额:
    $ 53.05万
  • 项目类别:
Tri-Institutional PhD Program in Computational Biology and Medicine
计算生物学和医学三机构博士项目
  • 批准号:
    10434024
  • 财政年份:
    2020
  • 资助金额:
    $ 53.05万
  • 项目类别:
Computational Methods for Identifying Non-coding Cancer Drivers
识别非编码癌症驱动因素的计算方法
  • 批准号:
    10411390
  • 财政年份:
    2018
  • 资助金额:
    $ 53.05万
  • 项目类别:
Computational Methods for Identifying Non-coding Cancer Drivers
识别非编码癌症驱动因素的计算方法
  • 批准号:
    10437162
  • 财政年份:
    2018
  • 资助金额:
    $ 53.05万
  • 项目类别:
Computational Methods for Identifying Non-coding Cancer Drivers
识别非编码癌症驱动因素的计算方法
  • 批准号:
    10440412
  • 财政年份:
    2018
  • 资助金额:
    $ 53.05万
  • 项目类别:
Computational Methods for Identifying Non-coding Cancer Drivers
识别非编码癌症驱动因素的计算方法
  • 批准号:
    10192676
  • 财政年份:
    2018
  • 资助金额:
    $ 53.05万
  • 项目类别:
Computational Methods for Identifying Non-coding Cancer Drivers
识别非编码癌症驱动因素的计算方法
  • 批准号:
    10524091
  • 财政年份:
    2018
  • 资助金额:
    $ 53.05万
  • 项目类别:

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