课题基金 / 基金详情

Computation, Bioinformatics, and Statistics (CBIOS) Training Program

Computation, Bioinformatics, and Statistics (CBIOS) Training Program
计算、生物信息学和统计学 (CBIOS) 培训计划
批准号:
10430030
负责人:
Francesca Chiaromonte
金额:
$49.65万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-07-01 至 2023-12-31

项目摘要

项目成果

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中文摘要
翻译
项目摘要 宾夕法尼亚州立大学的“计算,生物信息学和统计学(CBIOS)博士前培训计划”将培养一个 具有强大的计算,统计,生物和科学沟通技能的新一代科学家 使他们能够发展和领导跨学科的合作研究工作,促进在 生物医学和生命科学。CBIOS的目标与“生物信息学和计算生物学”是一致的。 国立全科医学研究所的生物学项目。目的是培养一批新的科学家, 作为计算生物学家/生物信息学家的主要身份,其学科核心来自于 一套关于如何计算、分析和应用生物数据的新兴原则。前五个目标 多年的CBIOS计划是培养学生“能够思考统计,使用计算和统计 工具,并产生计算和统计创新,以跟上快速发展的景观, 高通量基因组学技术。”CBIOS的第二个周期将继续提供坚实的基础 在定量科学和生命科学方面,并纳入新的科学传播课程, 在沟通的目的,意义和研究成果,以不同的利益相关者在流畅 科学、医学、政策和商业领域。CBIOS建立在六个既定的研究生课程,包括 四个部门和两个校际项目。参加该计划的培训教师属于五个 不同的学院和两个校区-提供广泛的跨学科研究范围。大部分 培训教师隶属于校际生物信息学和基因组学研究生课程,属于 在基因组科学研究所的主持下, 互动的平台。我们的教师密切互动-正如研究出版物的联合作者证明, 共同资助的赠款,共同教学,并共同指导研究生。他们有一个综合的年度研究 直接费用为75,265,600美元,为学员的研究经验提供坚实的基础, 机会结合NIH和宾夕法尼亚州立大学的支持,CBIOS计划培训至少18名博士预科生。 学员在五年内。每个学员将获得两年的支持(毕业的第二年和第三年 职业),同时通过CBIOS计划接受基础课程。学员将获得一个彻底的 理解科学过程,负责任地进行研究,熟练掌握研究方法, 在大规模基因组数据分析中利用计算,生物信息学和统计工具的能力, 卓越的沟通,以不同的观众,领导跨学科的研究团队, 优秀的专业发展活动。两年的支持结束后,学员将继续参加 在每月的实习生会议上,并在整个毕业生涯中与项目活动保持联系。
英文摘要
PROJECT SUMMARY The Penn State ‘Computation, Bioinformatics, and Statistics (CBIOS) Predoctoral Training Program’ will train a new generation of scientists with strong computational, statistical, biological, and science communication skills to enable them to develop and lead interdisciplinary collaborative research efforts that promote advances in the biomedical and life sciences. The goals of CBIOS are consistent with the ‘Bioinformatics and Computational Biology’ program at National Institute of General Medicine. The aim is to train a new class of scientists with a primary identity as computational biologists/bioinformaticians, and whose disciplinary core draws from an emerging set of principles on how to compute, analyze, and apply biological data. The goals of the first five years of the CBIOS program were to train students “that can think statistically, use computational and statistical tools, and generate computational and statistical innovation to keep pace with the quickly evolving landscape of high-throughput genomics technologies.” The second cycle of CBIOS will continue to provide a strong foundation in quantitative and life sciences, and incorporate a new science communication curriculum aimed at developing fluency in communicating the purpose, significance, and outcomes of research to diverse stakeholders in the science, medicine, policy, and business arenas. CBIOS builds upon six established graduate programs including four departmental and two intercollegiate programs. Training faculty participating in the program belong to five different colleges and two campuses – providing a broad and interdisciplinary research spectrum. Most of the training faculty are affiliated with the intercollegiate Bioinformatics and Genomics graduate program and belong to centers of excellence under the auspices of the Genome Sciences Institute, which provides a common platform for interactions. Our faculty interact closely – as evidenced by joint authorship on research publications, co-funded grants, co-teaching, and co-advising of graduate students. They have a combined annual research funding base of $75,265,600 direct cost, offering a solid foundation for trainees’ research experience and opportunities. Combining NIH and Penn State support, CBIOS plans to train a minimum of 18 predoctoral trainees over a period of five years. Each trainee will be supported for two years (year 2 and 3 of their graduate career) while receiving a foundational curriculum through the CBIOS program. Trainees will gain a thorough understanding of the scientific process, responsible conduct of research, fluency in research methodologies, ability to utilize computational, bioinformatics and statistical tools in large-scale genomic data analysis, excellence in communication to diverse audiences, leadership in cross-disciplinary research teams, and excellent professional developmental activities. After the two years of support, trainees will continue to participate in monthly trainee meetings and remain connected with program activities throughout their graduate career.
期刊论文(19)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1186/s12864-015-1712-0
发表时间: 2015-07-10
期刊: BMC genomics
影响因子: 4.4
作者: [Fuller ZL, Niño EL, Patch HM, Bedoya-Reina OC, Baumgarten T, Muli E, Mumoki F, Ratan A, McGraw J, Frazier M, Masiga D, Schuster S, Grozinger CM, Miller W]
通讯作者: Miller W
Correcting palindromes in long reads after whole-genome amplification.
全基因组扩增后纠正长读中的回文。
DOI: 10.1186/s12864-018-5164-1
发表时间: 2018
期刊: BMC genomics
影响因子: 4.4
作者: [Warris,Sven, Schijlen,Elio, vandeGeest,Henri, Vegesna,Rahulsimham, Hesselink,Thamara, TeLintelHekkert,Bas, SanchezPerez,Gabino, Medvedev,Paul, Makova,KaterynaD, deRidder,Dick]
通讯作者: deRidder,Dick
DOI: 10.1101/gr.199448.115
发表时间: 2016-04
期刊: Genome research
影响因子: 7
作者: [Tomaszkiewicz M, Rangavittal S, Cechova M, Campos Sanchez R, Fescemyer HW, Harris R, Ye D, O'Brien PC, Chikhi R, Ryder OA, Ferguson-Smith MA, Medvedev P, Makova KD]
通讯作者: Makova KD
DOI: 10.1534/g3.114.014860
发表时间: 2014-10-17
期刊: G3 (Bethesda, Md.)
影响因子: --
作者: [Fuller ZL, Haynes GD, Zhu D, Batterton M, Chao H, Dugan S, Javaid M, Jayaseelan JC, Lee S, Li M, Ongeri F, Qi S, Han Y, Doddapaneni H, Richards S, Schaeffer SW]
通讯作者: Schaeffer SW
共 9 条
    Computation, Bioinformatics, and Statistics (CBIOS) Training Program
    Computation, Bioinformatics, and Statistics (CBIOS) Training Program
    • 批准号:
      8876719
    • 项目类别:
    • 资助金额:
      $16.53万
    • 财政年份:
      2013
    • 负责人:
      Francesca Chiaromonte
    • 依托单位:
    Computation, Bioinformatics, and Statistics (CBIOS) Training Program
    • 批准号:
      10215541
    • 项目类别:
    • 资助金额:
      $46.37万
    • 财政年份:
      2013
    • 负责人:
      Francesca Chiaromonte
    • 依托单位:
    Computation, Bioinformatics, and Statistics (CBIOS) Training Program
    • 批准号:
      9301018
    • 项目类别:
    • 资助金额:
      $16.93万
    • 财政年份:
      2013
    • 负责人:
      Francesca Chiaromonte
    • 依托单位:
    海外基金