CSHL Computational and Comparative Genomics Course
CSHL Computational and Comparative Genomics Course
批准号:
9357752
负责人:
DAVID J. STEWART
金额:
$6.23万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2020-06-30
关键词:
AddressAlgorithmsAmino Acid SequenceAmino Acid Sequence DatabasesAreaBiochemistryBioinformaticsBiologicalBiological ModelsBiological ProcessBiological SciencesBiological databasesBiologyComputational BiologyComputersComputing MethodologiesCourse ContentDNA SequenceDataData AnalysesDatabasesEnsureEquilibriumFacultyFoundationsFutureGenesGeneticGenomeHome environmentInstitutionInternationalLaboratoriesLaboratory StudyMachine LearningMethodsMolecularMolecular BiologyNucleic Acid Regulatory SequencesOther GeneticsPostdoctoral FellowPublishingResearchResearch PersonnelResearch TrainingScientistSequence AlignmentSequence AnalysisStatistical AlgorithmStudentsSurveysTechniquesTrainingTraining ProgramsUniversitiesUpdatecomparative genomicscomputer sciencedesignexperiencefallsgenome analysisgenome annotationgenome databasegraduate studentinstructorinterestlaboratory experiencelecturerprogramspromoterstatisticstool
中文摘要
冷泉港实验室建议继续开设一门名为“计算与数学”的课程
英文摘要
The Cold Spring Harbor Laboratory proposes to continue a course entitled “Computational and
Comparative Genomics”, to be held in the Fall of 2017 – 2019. The Computational and Comparative
Genomics course provides experimental biologists with backgrounds in molecular biology, genetics, and
biochemistry with the theoretical background and practical experience necessary to use and evaluate
computational approaches to genome annotation and analysis, including protein sequence database
searching, multiple sequence alignment, identification of promoters and other genetic regulatory
elements, and the integration of sequence information into broader models of biological function. The
course also provides computer scientists and mathematicians with an introduction to the algorithms,
computational methods, and biological problems that are addressed in biological sequence analysis and
computational biology. For post-doctoral fellows, and junior and senior investigators who are interested
in changing their research direction towards computational biology, the course provides an introduction
to computational biology methods and a survey of future directions. Over a seven day period, the
students receive a strong grounding in the both the biological and computer science foundations for
genome analysis and practical computer laboratory experience on challenging problems. The course is
taught by internationally recognized leaders in the field, who provide hands-on demonstrations of the
programs and biological databases that they have developed. At the end of the course, students can not
only use effectively currently available tools in biological sequence analysis, they can also evaluate
critically new computational approaches by considering alternative methods and interpretations, and
appreciate the strengths and limitations of computational methods for answering broad biological
questions.
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