Cancer Informatics Shared Resource
Cancer Informatics Shared Resource
批准号:
10626515
负责人:
Colin Noel Dewey
金额:
$14.16万
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
未结题
起止时间:
1997-04-25 至 2028-03-31
关键词:
AccelerationAdoptedAdoptionAlgorithmsApplications GrantsAreaAwardBioinformaticsBiologicalBiometryBusinessesCancer CenterCancer Center Support GrantClinicalClinical InformaticsCollaborationsComprehensive Cancer CenterComputational ScienceComputing MethodologiesDataData AnalysesDedicationsDevelopmentDirect CostsDiscipline of obstetricsDoctor of PhilosophyElectronic Health RecordEmerging TechnologiesEnsureEpigenetic ProcessFacultyFundingFunding AgencyGene ExpressionGenomeGrantGrowthGynecologyHead and Neck CancerHigh-Throughput Nucleotide SequencingImageImage AnalysisImmune signalingIndividualInformaticsInstructionMachine LearningMalignant NeoplasmsMedical InformaticsMentorsMethodologyMissionModelingNCI Center for Cancer ResearchNatural Language ProcessingPilot ProjectsPositioning AttributePostdoctoral FellowRadionuclide therapyResearchResearch DesignResearch PersonnelResearch Project GrantsResourcesRoleScientistServicesStandardizationSystemTechnologyTimeUnited States National Institutes of HealthUniversitiesWisconsinWorkanticancer researchartificial neural networkcomputational pipelinescomputing resourcescostdeep learningdeep neural networkexperiencegenome annotationgraduate studentheterogenous datahigh dimensionalityinformatics shared resourceinnovationmembermethod developmentnovelprofessorprogramssingle-cell RNA sequencingskillstranscription regulatory networktranscriptome sequencing
中文摘要
项目摘要/摘要
英文摘要
PROJECT SUMMARY / ABSTRACT
The mission of the Cancer Informatics Shared Resource (CISR) is to promote high quality, innovative cancer
research by providing members of the University of Wisconsin Carbone Cancer Center (UWCCC) with cutting-
edge and efficient informatics, including bioinformatics, clinical informatics, image analysis, machine learning,
and computational science. CISR accomplishes this mission through a team of five highly skilled PhD staff
scientists, four world-renowned informatics faculty, and the substantial computational systems and support of
the University of Wisconsin Department of Biostatistics and Medical Informatics (BMI), within which CISR was
established in 2003. Specific Aim 1. Provide State-of-the-art Informatics Services. CISR provides deep and
broad expertise in bioinformatics and machine learning analysis of biological, clinical, and imaging data. CISR
staff are well versed in the latest computational approaches for a wide variety of tasks and can efficiently
implement and apply them to support UWCCC member projects. This support is provided through dedicated
effort of CISR staff to members’ funded projects; involvement of CISR staff in study design, pilot studies, and
grant application development; and development of standardized computational pipelines. Specific Aim 2.
Develop Innovative Informatics Methodology to Support Cancer Research. CISR staff develop novel
computational approaches and algorithms to allow UWCCC research to reach its full potential when existing
approaches are insufficient. Support for this aim is bolstered by the effort of four faculty members with expertise
in the development of novel algorithms in areas such as machine learning, electronic health record analysis,
causal discovery from observational data, natural language processing, deep learning, and RNA-Seq gene
expression data analysis. Faculty both collaborate with and mentor the PhD scientists in the development of
novel computational approaches and their application to members’ research. During the current Cancer Center
Support Grant (CCSG) cycle, support for this aim was enhanced with the growth of the staff from three to five
scientists, further increasing capacity and expanding the expertise of CISR to include immunological signaling,
genome annotation, transcriptional regulatory networks, and epigenetics. During this cycle, CISR supported 61
individual UWCCC members across all six scientific programs and usage doubled over the prior cycle, in terms
of the average number of members served per year. With UWCCC investigators, CISR staff co-authored 34
cancer-related articles, contributed to the submission of 30 grant applications, and supported grants totaling
$14M in direct costs, including five from the NCI and four from other NIH institutes. CISR has had important roles
in several large-scale UWCCC projects, including the Head and Neck Cancer SPORE (P50DE026787) and a
P01 for targeted radionuclide therapy (P01CA250972). CCSG funding of CISR will ensure that its team will
continue to be well positioned to meet the evolving computational research needs of UWCCC investigators for
cutting-edge cancer research, which is increasingly reliant on massive and heterogeneous data sets.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Bio-Data Science Training Program
-
批准号:9116579
-
项目类别:
-
资助金额:$32.06万
-
财政年份:2016
-
负责人:Colin Noel Dewey
-
依托单位:
Bio-Data Science Training Program
-
批准号:9901570
-
项目类别:
-
资助金额:$31.16万
-
财政年份:2016
-
负责人:Colin Noel Dewey
-
依托单位:
Integrated biochemical and bioinformatic technologies for accurate transcriptome-wide full-length RNA assembly.
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批准号:9119934
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项目类别:
-
资助金额:$0.5万
-
财政年份:2015
-
负责人:Colin Noel Dewey
-
依托单位:
Integrated biochemical and bioinformatic technologies for accurate transcriptome-wide full-length RNA assembly.
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批准号:8905526
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项目类别:
-
资助金额:$35.0万
-
财政年份:2015
-
负责人:Colin Noel Dewey
-
依托单位:
Computational methods for the analysis of RNA-Seq data
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批准号:8293382
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项目类别:
-
资助金额:$27.18万
-
财政年份:2010
-
负责人:Colin Noel Dewey
-
依托单位:
Computational methods for the analysis of RNA-Seq data
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批准号:8101207
-
项目类别:
-
资助金额:$27.18万
-
财政年份:2010
-
负责人:Colin Noel Dewey
-
依托单位:
Computational methods for the analysis of RNA-Seq data
-
批准号:7899578
-
项目类别:
-
资助金额:$28.18万
-
财政年份:2010
-
负责人:Colin Noel Dewey
-
依托单位:
Cancer Informatics Shared Resource
-
批准号:10456692
-
项目类别:
-
资助金额:$44.84万
-
财政年份:1997
-
负责人:Colin Noel Dewey
-
依托单位:
Cancer Informatics Shared Resource
-
批准号:9923023
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项目类别:
-
资助金额:$46.69万
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财政年份:--
-
负责人:Colin Noel Dewey
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依托单位:
海外基金