Short Course on the Genetics of Addiction
成瘾遗传学短期课程
基本信息
- 批准号:10202545
- 负责人:
- 金额:$ 2.5万
- 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
- 来源:
- 关键词:Active LearningAnimal ModelAppointmentAtmosphereAwarenessBehaviorBioinformaticsBiologicalBiologyBrain DiseasesChronicCommunitiesComputer softwareData AnalysesData SetDevelopmentDrug AddictionEducational workshopEnrollmentEpigenetic ProcessFacultyFoodFosteringFunding OpportunitiesGeneticGenetic ModelsGenetic studyGenomic approachGenomicsHandHeritabilityHumanHuman GeneticsInstitutionInstructionLearningLiteratureMaineMethodologyMethodsModernizationMusParticipantPhenotypePredispositionPublic HealthReproducibilityResearchResearch PersonnelResourcesRoleScientistStructureStudentsThe Jackson LaboratoryTherapeuticTimeTrainingTranslational ResearchUnderrepresented MinorityWomanWorkaddictionbehavioral phenotypingcareercareer developmentdata resourcedesignefficacious treatmentfaculty-student interactionsgenetic analysisgenetic approachhuman modelimpressionlecturesmembermouse modelnew technologyskillssocietal costssuccesssymposiumtool
项目摘要
ABSTRACT
The annual Short Course on the Genetics of Addiction proposed in this application builds on the successes of
the previous iteration of this Course and will provide students with an opportunity to learn about genetic
applications and approaches to drug addiction research in humans and model organisms. The methodological
instruction includes examples, literature and data sets drawn from studies of addiction-related phenotypes,
plenary sessions on major progress in addiction genetics, and discussion sessions in which students each
present their work on applications of genetic methods, and discuss general questions provoked by the lectures.
Students will leave the course able to design and interpret genetic and genomic studies of addiction as they
relate to their specific research question, to locate the opportunities and resources for extrapolation between
human genetics and model organisms, and to utilize current online data resources to support their research.
These aims will be accomplished annually over the next five years through an intensive five-day course to be
offered in late summer at the Jackson Laboratory (JAX) in Bar Harbor, Maine. In 2020, the course will be held
September 20-26, with arrivals and a reception on September 20 and departures on September 26.
Participants will be chosen for their outstanding research potential in fields relevant to the course and will have
the opportunity to interact with a group of prominent computational biologists, bioinformaticists, biologists, and
geneticists from JAX and other institutions. A combination of didactic sessions and hands-on training will be
offered during the day and informal discussions will be held in the evening. Student enrollment is deliberately
kept small (35) to achieve a desirable level of student-faculty interaction. Food and lodging will be provided at
the JAX-owned Highseas Conference Center, which creates an atmosphere highly conducive to interactions
between students and faculty. A major emphasis will be placed on attracting promising young investigators to
participate in this course and to actively promote the inclusion of women and under-represented minorities in
an effort to cultivate diversity in the professoriate.
抽象的
本申请中提出的年度成瘾遗传学短期课程以以下项目的成功为基础:
本课程的上一版本将为学生提供学习遗传知识的机会
人类和模型生物体药物成瘾研究的应用和方法。方法论
指导包括从成瘾相关表型研究中提取的示例、文献和数据集,
关于成瘾遗传学重大进展的全体会议,以及学生们各自讨论的讨论会
介绍他们在遗传方法应用方面的工作,并讨论讲座中提出的一般问题。
学生在完成课程后将能够设计和解释成瘾的遗传和基因组研究,因为他们
与他们的具体研究问题相关,找到在之间进行推断的机会和资源
人类遗传学和模式生物,并利用当前的在线数据资源来支持他们的研究。
这些目标将在未来五年内每年通过为期五天的强化课程来实现
夏末在缅因州巴港的杰克逊实验室 (JAX) 提供。 2020年,该课程将举办
9 月 20 日至 26 日,9 月 20 日抵达和接待,9 月 26 日出发。
参与者将因其在课程相关领域的杰出研究潜力而被选中,并将获得
有机会与一群著名的计算生物学家、生物信息学家、生物学家和
来自 JAX 和其他机构的遗传学家。教学课程和实践培训相结合
白天进行,晚上进行非正式讨论。学生入学是刻意的
保持较小(35)以达到理想的师生互动水平。食物和住宿将在
JAX 旗下的 Highseas 会议中心营造了非常有利于互动的氛围
学生和教师之间。重点将放在吸引有前途的年轻研究人员
参加本课程并积极促进妇女和代表性不足的少数群体融入社会
努力培养教授队伍的多样性。
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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Elissa J Chesler其他文献
Algorithmic tools for tripartite data analysis
- DOI:
10.1186/1471-2105-15-s10-p32 - 发表时间:
2014-09-29 - 期刊:
- 影响因子:3.300
- 作者:
Charles A Phillips;Erich J Baker;Elissa J Chesler;Michael A Langston - 通讯作者:
Michael A Langston
WebQTL: rapid exploratory analysis of gene expression and genetic networks for brain and behavior
WebQTL:大脑和行为基因表达及遗传网络的快速探索性分析
- DOI:
10.1038/nn0504-485 - 发表时间:
2004-05-01 - 期刊:
- 影响因子:20.000
- 作者:
Elissa J Chesler;Lu Lu;Jintao Wang;Robert W Williams;Kenneth F Manly - 通讯作者:
Kenneth F Manly
Elissa J Chesler的其他文献
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{{ truncateString('Elissa J Chesler', 18)}}的其他基金
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