CSHL Programming for Biology Course
CSHL Programming for Biology Course
批准号:
10251292
负责人:
DAVID J. STEWART
金额:
$9.65万
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:
未结题
起止时间:
2014-09-01 至 2026-07-31
关键词:
AddressAnimal ModelAreaBackBioinformaticsBiologicalBiologyCodeComplexComplex AnalysisComputer softwareComputersComputing MethodologiesCustomDNA ResequencingDataData AnalysesData SetDistributed DatabasesEducational process of instructingEducational workshopEnsureEnvironmentExerciseExperimental DesignsExplosionExposure toFacultyFloodsGenetic studyGenomeGenomicsGenotypeGoalsHomeHumanIndividualInstitutionInternetInvestigationKnowledgeLaboratoriesLaboratory StudyLanguageLearningLibrariesLifeMethodologyMethodsMiningModernizationMolecular BiologyPopulation GeneticsPostdoctoral FellowProblem SetsProfessional EducationProgramming LanguagesPublished CommentPythonsResearchResearch PersonnelResearch TrainingSchoolsScientistSequence AlignmentSeriesSoftware EngineeringStudentsSystemTechniquesTechnologyTheoretical BiologyThinkingTimeTrainingTraining ProgramsTranscriptVariantWorkanalysis pipelinebioinformatics toolbiological researchcareercomparative genomicscomputational pipelinescomputer programdata complexitydata exchangedata formatdata managementdata miningdatabase schemadeep sequencingdesignexperimental analysisexperimental studygraduate studentinstructorlaboratory curriculumlarge datasetslecturerlecturesnext generationpetabyteprogramsprotein structurescientific computingskillssuccesssynergismtooltranscriptomics
中文摘要
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英文摘要
ABSTRACT
PROGRAMMING FOR BIOLOGY
2020 – 2024
The goal of the Cold Spring Harbor Laboratory Course in Programming for Biology is to
provide biologists with the advanced knowledge and programming tools they need to
deal with the genomic information explosion. Complementary to training in web tools
such as BLAST, this course teaches researchers how to manage, analyze and display
large data sets by creating dedicated programs that combine existing and custom tools
and platforms. This 16 day course begins with an intensive training in Python
programming, including object-oriented programming and the BioPython library. The
second week introduces essential bioinformatics analysis tools and methods, each
accompanied by appropriate programming exercises. We emphasize the design and
implementation of complex analysis pipelines that directly address a biologist's research
questions using practical software engineering and scientific computing methods. The
course combines formal lectures with extensive hands-on laboratories in which students
solve a series of computational problem sets drawn from common scenarios in biology
research and data management. In a three-day final project that solidifies the course's
teachings, students pose real-life problems using their own data and work in groups with
faculty to solve them.
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