CSHL Course on Advanced Sequencing Technologies & Bioinformatics Analysis
CSHL Course on Advanced Sequencing Technologies & Bioinformatics Analysis
批准号:
10491892
负责人:
DAVID J. STEWART
金额:
$8.0万
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:
未结题
起止时间:
2012-04-10 至 2026-06-30
关键词:
Academic supportAddressAnimalsAreaAttentionBacteriaBase SequenceBioinformaticsBiologicalBiological ProcessBiologyCatalogsCellsCloud ComputingCollaborationsCommunicable DiseasesCommunitiesComplexCoupledCourse ContentDNADNA sequencingDataData AnalysesDevelopmentDisadvantagedDisease ProgressionDropsE-learningEducational MaterialsEnrollmentEvolutionExerciseExplosionFacultyFutureGenerationsGenetic VariationGenomeGenomicsHigh-Throughput Nucleotide SequencingImmune responseIndividualInstructionInvestmentsLaboratoriesLanguageLearningLibrariesMalignant NeoplasmsMassive Parallel SequencingMedicineMentorsMethodsMinority GroupsModernizationMolecular AnalysisNormal tissue morphologyNucleic acid sequencingOccupationsOncogenesOrganismParticipantPersonsPhysiologyPlantsPostdoctoral FellowProblem SetsProceduresRNA analysisRegulationResearchResearch PersonnelRunningSamplingScienceSequence AnalysisSeriesStandardizationStudentsTalentsTechniquesTechnologyTimeTimeLineTrainingTwin Multiple BirthUnderrepresented MinorityUnited StatesUpdateVariantVirusVirus Diseasesbasebeneficiarybioinformatics pipelinebioinformatics toolbiomedical scientistcohortcomputerized data processingcostdata visualizationdesigndigitaleducation resourcesexperiencefile formatfollow-upfungusgenome analysisgraduate studentinnovationinstructorinterestlaboratory curriculumlaboratory experiencelaboratory experimentlarge scale datalearning materialslecturerlecturesnext generation sequencingoperationoutreachpersonalized approachprogramssequencing platformsingle cell sequencingstudent trainingteaching assistanttooltranscriptometranscriptome sequencingunderserved communityvirtual
中文摘要
摘要
高级测序和生物信息学课程
分析
这个冷泉港年度短期课程将培养一个多样化的生物和
生物医学科学家在最新的测序技术和下游生物信息学
分析这些技术产生的大量序列数据。的
拟议的冷泉港实验室先进测序技术课程和
生物信息学分析将于2021年11月至2025年举行。广泛的科学
这些问题可以通过DNA/RNA序列的现代方法来探索
分析,因此,我们预计在各个领域工作的个人的应用程序
生物和生物医学科学,从进化和发展到植物和动物
癌症的生理学和宿主对传染病的反应。学生将被指示在
几个革命性测序平台的详细操作,包括文库构建
程序、一般数据处理和深入的数据分析。普通实验
将详细探索通过大规模平行测序技术实现的方法,
包括从头DNA测序和基因组组装,已知的DNA重新测序,
癌基因,批量转录组分析,单细胞转录组分析,小变异
发现/解释和其他适合学生研究领域的方法
感兴趣扩展课程的生物信息学部分,学生将被介绍到
Unix命令行,重要的文件格式,对齐,数据可视化,基本的R脚本,
bash和其他程序语言,集群作业提交和生物信息学管道
发展客座讲师为课程做出贡献,并鼓励他们突出自己的
这些革命性技术的应用。这种在住宅环境中进行的专门培训
立即影响学员的研究进展,并促进合作,
教师和学员之间的思想交流,从而代表了一个重要的和有价值的
投资加速基因组研究。本课程的高级范围将是
与创新的教育设计相结合,包括更广泛地传播
通过定制的在线学习工具提供课程讲座和相关材料以及习题集。
对得不到充分服务的研究界和个人进行大量外联和参与
将与专门的指导和后续行动相结合,以帮助提供持续的学术
支持和留住那些在特定研究领域有交叉兴趣的人
课程的范围。
英文摘要
ABSTRACT
COURSE ON ADVANCED SEQUENCING TECHNOLOGIES & BIOINFORMATICS
ANALYSIS
This Cold Spring Harbor annual short course will train a diverse cohort of biological and
biomedical scientists in the latest sequencing technologies and the downstream bioinformatics
analysis of the large quantities of sequence data generated by these technologies. The
proposed Cold Spring Harbor Laboratory course on Advanced Sequencing Technologies &
Bioinformatics Analysis is to be held November 2021-2025. A broad range of scientific
questions are amenable to exploration through modern approaches in DNA/RNA sequence
analysis, and we therefore anticipate applications from individuals working in areas across the
biological and biomedical sciences, from evolution and development to plant and animal
physiology to cancer and host response to infectious diseases. Students will be instructed in the
detailed operation of several revolutionary sequencing platforms, including library construction
procedures, general data processing, and in-depth data analysis. Common experimental
approaches enabled by massively parallel sequencing technologies will be explored in detail,
including de novo DNA sequencing and assembly of genomes, DNA re-sequencing of known
cancer genes, bulk transcriptome profiling, single-cell transcriptome profiling, small variant
discovery/interpretation and other approaches that are tailored to the student's research areas
of interest. Expanding the bioinformatics component of the course, students will be introduced to
Unix command-line, important file formats, alignment, data visualization, basic scripting in R,
bash and other program languages, cluster job submission and bioinformatics pipeline
development. Guest lecturers contribute to the course and are encouraged to highlight their own
applications of these revolutionary technologies. This specialized training in a residential setting
immediately impacts the progress of the trainees' research, and promotes collaboration and
exchange of ideas between faculty and trainees, and thus represents a significant and valuable
investment towards accelerating genome research. The advanced scope of the course will be
twinned with an innovative educational design, including the broader dissemination of the
course lectures and associated material and problem sets via tailored online learning tools.
Significant outreach to and engagement of underserved research communities and individuals
will be combined with dedicated mentoring and follow-up to help provide ongoing academic
support to and retention of underserved individuals with specific research interests that intersect
with the scope of the course.
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