Tissue-specific gene set testing
Tissue-specific gene set testing
批准号:
9217355
负责人:
Hildreth Frost
金额:
$8.69万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-07-31
关键词:
Academic TrainingAddressAtlasesBioinformaticsBiologicalBiometryCatalogingCatalogsCodeCollectionConsultCore FacilityDNA MethylationDNA SequenceDataData ScienceDatabasesDevelopmentDevelopment PlansEducationEducational workshopEnvironmentEvaluationExposure toFacultyGeneric DrugsGenesGenetic TranscriptionGenomicsGrantHistocompatibility TestingHumanIndividualInvestigationKnowledgeLeadLeadershipLinkMeasuresMedical InformaticsMedicineMentorsMethodsMolecular ProfilingOntologyPathway AnalysisPerformanceProcessProductivityProteinsQualifyingReproducibilityResearchResearch InfrastructureResearch Project GrantsResearch TrainingResourcesSourceSpecificitySupercomputingTest ResultTestingTissuesTrainingTranslational ResearchTweensVariantWritingbiomedical informaticscareercareer developmentcomputerized toolsexperiencegene functiongenomic datahuman tissueimprovedmedical schoolsmembernovelrepositoryresearch and developmentresearch studysymposiumtool
中文摘要
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英文摘要
PROJECT SUMMARY
Background: Gene set testing, or pathway analysis, has become a critical tool for the analysis of high-
dimensional genomic data. Although the function of many genes is strongly linked to tissue context,
with recent experiments characterizing the tissue-specificity of most human protein-coding genes, little
support is available for tissue-specific gene set testing. An important opportunity therefore exists to
create novel bioinformatics methods that use the comprehensive data on the tissue-specificity
of human genes to create tissue-specific gene set collections, annotations and testing methods.
Candidate: Dr. Frost is a faculty member in the Department of Biomedical Data Science at the Geisel
School of Medicine at Dartmouth. His academic training at Stanford, Harvard and Dartmouth, strong
record of research productivity and extensive medical informatics consulting experience make him well
qualified to achieve his proposed career and research aims and transition to research independence.
Environment: The Geisel School of Medicine at Dartmouth is an optimal environment for Dr. Frost's
career development and research. Dr. Frost's team of experienced mentors and advisors, along with
a wide network of other collaborating faculty, will provide a supportive and invigorating intellectual en-
vironment. Numerous core facilities, including a state-of-the-art supercomputing cluster, will provide
the necessary technical infrastructure and regular seminars, grand rounds and workshops will provide
exposure to recent advances in topics including biomedical informatics, biostatistics and genomics.
Career Development Plan: The proposed career development plan will achieve the three primary aims
of 1) biomedical expertise, 2) training for research leadership and 3) research independence through a
combination of scientific education, career development and mentored research. All of these activities
will be guided by Dr. Frost's mentoring and advising team, lead by Dr. Christopher Amos. To achieve
the first aim, Dr. Frost will improve his biomedical domain knowledge, focusing on genomics and ge-
nomic medicine, through classes, workshops, short courses, seminars and conferences. To achieve the
second aim, Dr. Frost will pursue training in translational science, the responsible conduct of research
and grant writing. The third aim will be realized through the development of a competitive R01 grant.
Research Plan: Dr. Frost will address the challenge of tissue-specific gene set testing by developing
and evaluating bioinformatics methods that leverage information on tissue-specific gene function to
create gene set collections and testing methods that target a single human tissue type. These methods
will 1) filter out gene sets not relevant to the tissue, 2) eliminate gene set annotations inappropriate for
the tissue, and 3) leverage tissue-specific gene relationships to improve gene set enrichment.
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科研奖励(0)
会议论文
Gene set analysis of single cell genomics
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批准号:10708043
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项目类别:
-
资助金额:$41.0万
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财政年份:2022
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负责人:Hildreth Frost
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依托单位:
Cancer-specific gene set testing
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批准号:10058552
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项目类别:
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资助金额:$45.1万
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财政年份:2020
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负责人:Hildreth Frost
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依托单位:
海外基金