Gene Regulatory Networks for Development
Gene Regulatory Networks for Development
批准号:
8534801
负责人:
WILLIAM S. REZNIKOFF
金额:
$6.96万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-21 至 2017-07-31
关键词:
AddressBioinformaticsBiologicalBiologyChalkClinical SciencesDevelopmentEducational workshopFacultyGenesGenomicsHandInformation SystemsLaboratoriesLiteratureMarinesMathematicsModelingMolecular GeneticsPhysicsPostdoctoral FellowRegulator GenesResearchScientistSeriesSourceStudentsSystemWood materialbiological systemscomputer sciencedesignexperiencefallsgene functiongraduate studentinterestlecturestranscription factor
中文摘要
描述(由申请人提供):本提案是为了支持伍兹霍尔海洋生物实验室提供的关于基因调控网络发展主题的短期课程。本课程由加州理工学院的Eric Davidson博士和杜克大学的大卫·麦克雷博士于2008年秋季首次组织和指导,此后每年都有开设。该课程提供了系统级方法的基本信息,以了解开发。它是专为生物学家谁有兴趣在移动他们的研究在更多的定量方向,并从计算或物理背景的科学家谁希望获得专业知识,在生物系统的重点发展。该课程提供了一系列激烈的教学讲座,讨论,粉笔会谈,实验室演示和研讨会的互动,推进转录因子功能,基因调控网络组织的原则,以及解决发展中的系统级问题的方法。它包括实际的实验室演示,如果需要的话,动手的经验,转化为系统级的概念和模型的发展研究成果。学生们都参与项目,从给定的文献来源构建基因网络,并捕获
这些网络在BioTapestry计算平台上。学生范围从高级研究生和博士后研究员到生物学,计算机科学,物理学,数学和临床科学的教师。课程教师包括基因组学,分子遗传学,基因调控机制,生物信息学,计算和图形设计和开发方面的专家。
英文摘要
DESCRIPTION (provided by applicant): This proposal is for support of a short course on the topic of gene regulatory networks in development offered at the Marine Biological Laboratory in Woods Hole. This course was first organized and directed by Dr. Eric Davidson (Caltech) and Dr. David McClay (Duke) in the fall of 2008 and has been offered each year since then. The course provides essential information of systems level approaches to understand development. It is designed for biologists who have an interest in moving their research in more quantitative directions, and for scientists from computational or physics backgrounds who wish to gain expertise in biological systems with a focus on development. The course provides an intense series of didactic lectures, discussions, chalk talks, laboratory demonstrations, and workshop interactions that advance the principles of transcription factor function, gene regulatory network organization, and approaches for addressing systems-level problems in development. It includes practical laboratory demonstrations, with hands on experience if desired, for transforming research results in development to systems level concepts and models. Students all participate in projects to construct gene networks from given literature sources and to capture
these networks in the BioTapestry computational platform. Students have ranged from advanced graduate students and postdoctoral fellows to faculty in biology, computer science, physics, mathematics, and clinical sciences. Course faculty includes experts in genomics, molecular genetics, gene regulatory mechanisms, bioinformatics, computation and graphic design, and development.
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