The q-bio Summer School
q-bio暑期学校
基本信息
- 批准号:9002062
- 负责人:
- 金额:$ 16.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-04-01 至 2017-01-31
- 项目状态:已结题
- 来源:
- 关键词:BehaviorBioinformaticsBiologicalBiologyCareer ChoiceCareer MobilityCell modelCell physiologyCellsChemistryCommunicationCommunitiesComplexComputational TechniqueComputer SimulationComputer softwareComputersComputing MethodologiesCuesDataEducationEducational BackgroundEducational CurriculumEducational workshopEngineeringEthnic OriginEventExposure toFinancial SupportFundingFutureGenderGene Expression RegulationGenerationsGoalsHealthHeterogeneityImmune systemIndividualInstitutionInternationalInternetMachine LearningMathematicsMentorsMinority-Serving InstitutionModelingMolecularMotivationNational Institute of General Medical SciencesNeuronsOccupationsParticipantPhysicsPopulationPostdoctoral FellowProfessional CompetenceQualifyingRaceReportingResearchResearch PersonnelResourcesSchoolsScientistSeriesSignal TransductionSocial NetworkStatistical Data InterpretationStatistical ModelsStudentsSynthetic GenesSystemSystems BiologyTechniquesTimeTrainingUnderrepresented GroupsUnited States National Institutes of HealthViralWomanWorkbiochemical modelbiological researchcareercareer developmentcomputational neurosciencecomputerized toolsdemographicsgraduate studentimprovedinterestlearning materialslecture noteslecturerlecturesmathematical modelmembermodel designmultidisciplinarypeerphysical scienceposterspredictive modelingprogramsresearch studyresponsesimulationskillsstatisticssymposiumsynthetic biologytool
项目摘要
DESCRIPTION (provided by applicant): The purpose of the Annual q-bio Summer School, founded in 2007 in Los Alamos, NM, is to advance predictive modeling of cellular regulatory systems by providing trtaining in mathematical, statistical, and computational techniques that are important in systems and synthetic biology. A secondary goal is to advance the careers of researchers new to quantitative biology. The school consists of courses in six subjects: 1) stochastic gene regulation, 2) cell signaling, 3) biomolecular simulations, 4) viral dynamics, 5) synthetic biology, and 6) computational neuroscience. Demand for training in quantitative biology is increasing rapidly-the number of qualified summer school applicants increased from fewer than 40 in 2010 to over 170 in 2012. In response to this demand, we expanded the school in 2012 to accommodate more students. The school now takes place at two campuses, in Santa Fe, NM (courses 1-4) and in San Diego, CA (courses 5-6). Approximately 30 students attend at each campus and are diverse in terms of educational background (mathematics, engineering, physical sciences, and biology), career level (~75% are graduate students, ~20% are postdocs, and ~5% are more advanced), and demographics (gender, race, ethnicity, and worldwide geographical origin). Students attend all core lectures in the courses offered at their campus, as well as specialized course-specific lectures, student get-to-know-me talks, and other talks (e.g., talks focused on career skills), and participate in hands-on computer labs and mentored projects. After two intensive weeks, all students gather in Santa Fe for a 2-day q- bio Student Symposium, which features student projects reports, student poster presentations, and external invited speakers. All students then attend the 4-day q-bio Conference, an international conference attended by >200 researchers. All q-bio Summer School participants can expect the following: a) broad exposure to mathematical/statistical/computational tools used in quantitative biology, b) in-depth training in techniques of special interest (i.e., in one of the six course subjects) through course-specific lectures, computer labs, and mentored projects; c) multiple opportunities to practice scientific communication through talks and poster presentations; d) exposure to cutting-edge research, and e) extensive networking opportunities with peers and thought leaders. Lecturers and speakers include more than 50 different researchers active in quantitative biology, including very distinguished scientists. For example, in 2013, confirmed lecturers include six academicians. By the time the students attend the q-bio Conference, they are equipped with a powerful social network that facilitates interactions, idea exchange, and initiation of collaborative research. The long-term goal of the school is to change the way biological research is conducted, making biology a more quantitative field, like physics and chemistry. In this effort, the organizers are supported by significant goodwill from the international quantitative biology community and a number of local institutions, including two national centers for systems biology. However, to maintain and improve the school, additional financial support is required.
描述(由申请人提供):年度 q-bio 暑期学校于 2007 年在新墨西哥州洛斯阿拉莫斯成立,其目的是通过提供重要的数学、统计和计算技术培训来推进细胞调节系统的预测建模在系统和合成生物学中。第二个目标是促进定量生物学新研究人员的职业生涯。学校包括六个科目的课程:1)随机基因调控、2)细胞信号传导、3)生物分子模拟、4)病毒动力学、5)合成生物学和6)计算神经科学。定量生物学培训的需求正在迅速增长,合格的暑期学校申请者人数从2010年的不足40人增加到2012年的170多人。针对这一需求,我们于2012年扩建了学校,以容纳更多的学生。该学校现在有两个校区,新墨西哥州圣达菲(课程 1-4)和加利福尼亚州圣地亚哥(课程 5-6)。每个校区大约有 30 名学生,他们的教育背景(数学、工程、物理科学和生物学)、职业水平各不相同(约 75% 是研究生,约 20% 是博士后,约 5% 是更高级的学生) )和人口统计(性别、种族、民族和全球地理起源)。学生参加校园提供的课程中的所有核心讲座,以及专门课程的讲座、学生了解我的讲座和其他讲座(例如,专注于职业技能的讲座),并参与动手实践计算机实验室和指导项目。经过两周的密集学习后,所有学生齐聚圣达菲,参加为期 2 天的 q-bio 学生研讨会,其中包括学生项目报告、学生海报展示和外部邀请演讲者。然后所有学生都会参加为期 4 天的 q-bio 会议,这是一次有超过 200 名研究人员参加的国际会议。所有 q-bio 暑期学校参与者都可以期待以下内容:a)广泛接触定量生物学中使用的数学/统计/计算工具,b)对特别感兴趣的技术进行深入培训(即六门课程科目之一)通过特定课程的讲座、计算机实验室和指导项目; c) 通过讲座和海报展示练习科学传播的多种机会; d) 接触前沿研究,以及 e) 与同行和思想领袖建立广泛的交流机会。讲师和演讲者包括 50 多名活跃于定量生物学领域的不同研究人员,其中包括非常杰出的科学家。例如,2013年,确认的讲师中有6位院士。当学生参加 q-bio 会议时,他们已经拥有了一个强大的社交网络,可以促进互动、思想交流和合作研究的启动。学校的长期目标是改变生物学研究的进行方式,使生物学成为一个更加定量的领域,就像物理和化学一样。在这一努力中,组织者得到了国际定量生物学界和许多当地机构(包括两个国家系统生物学中心)的大力支持。然而,为了维持和改善学校,需要额外的财政支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The finite state projection approach to analyze dynamics of heterogeneous populations.
用于分析异质群体动态的有限状态投影方法。
- DOI:
- 发表时间:2017-05-11
- 期刊:
- 影响因子:2
- 作者:Johnson, Rob;Munsky, Brian
- 通讯作者:Munsky, Brian
Using noise to control heterogeneity of isogenic populations in homogenous environments.
使用噪声来控制同质环境中同基因群体的异质性。
- DOI:
- 发表时间:2015-06-18
- 期刊:
- 影响因子:2
- 作者:Szymańska, Paulina;Gritti, Nicola;Keegstra, Johannes M;Soltani, Mohammad;Munsky, Brian
- 通讯作者:Munsky, Brian
The eighth q-bio conference: meeting report and special issue preface.
第八届q-bio会议:会议报告及特刊序言。
- DOI:
- 发表时间:2015-12-30
- 期刊:
- 影响因子:2
- 作者:Hlavacek, William S;Gnanakaran, S;Munsky, Brian;Wall, Michael E;Faeder, James R;Jiang, Yi;Nemenman, Ilya;Resnekov, Orna
- 通讯作者:Resnekov, Orna
Transcription factors modulate c-Fos transcriptional bursts.
转录因子调节 c-Fos 转录爆发。
- DOI:
- 发表时间:2014-07-10
- 期刊:
- 影响因子:8.8
- 作者:Senecal, Adrien;Munsky, Brian;Proux, Florence;Ly, Nathalie;Braye, Floriane E;Zimmer, Christophe;Mueller, Florian;Darzacq, Xavier
- 通讯作者:Darzacq, Xavier
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{{ truncateString('JEFF M HASTY', 18)}}的其他基金
Development of Engineered Native Bacteria as a Tool for Functional Manipulation of the Gut Microbiome
开发工程原生细菌作为肠道微生物组功能操纵的工具
- 批准号:
10737475 - 财政年份:2023
- 资助金额:
$ 16.88万 - 项目类别:
Reprogramming cell-fate decisions through predictive modeling and synthetic biology
通过预测模型和合成生物学重新编程细胞命运决定
- 批准号:
10344041 - 财政年份:2022
- 资助金额:
$ 16.88万 - 项目类别:
Reprogramming cell-fate decisions through predictive modeling and synthetic biology
通过预测模型和合成生物学重新编程细胞命运决定
- 批准号:
10706965 - 财政年份:2022
- 资助金额:
$ 16.88万 - 项目类别:
Reprogramming cell-fate decisions through predictive modeling and synthetic biology
通过预测模型和合成生物学重新编程细胞命运决定
- 批准号:
10908026 - 财政年份:2022
- 资助金额:
$ 16.88万 - 项目类别:
Reprogramming cell-fate decisions through predictive modeling and synthetic biology
通过预测模型和合成生物学重新编程细胞命运决定
- 批准号:
10784558 - 财政年份:2022
- 资助金额:
$ 16.88万 - 项目类别:
Design and characterization of bacterial population dynamics in solid tumor models
实体瘤模型中细菌种群动态的设计和表征
- 批准号:
10456087 - 财政年份:2021
- 资助金额:
$ 16.88万 - 项目类别:
Design and characterization of bacterial population dynamics in solid tumor models
实体瘤模型中细菌种群动态的设计和表征
- 批准号:
10212134 - 财政年份:2021
- 资助金额:
$ 16.88万 - 项目类别:
A microbiome-informed platform for the development and testing of bacterial therapies for colorectal cancer
用于开发和测试结直肠癌细菌疗法的微生物组信息平台
- 批准号:
10166805 - 财政年份:2020
- 资助金额:
$ 16.88万 - 项目类别:
A microbiome-informed platform for the development and testing of bacterial therapies for colorectal cancer
用于开发和测试结直肠癌细菌疗法的微生物组信息平台
- 批准号:
10397153 - 财政年份:2020
- 资助金额:
$ 16.88万 - 项目类别:
A microbiome-informed platform for the development and testing of bacterial therapies for colorectal cancer
用于开发和测试结直肠癌细菌疗法的微生物组信息平台
- 批准号:
10631898 - 财政年份:2020
- 资助金额:
$ 16.88万 - 项目类别:
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