Bioinformatic and Biostatistics Core
生物信息学和生物统计学核心
基本信息
- 批准号:9257298
- 负责人:
- 金额:$ 13.78万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至 2019-02-28
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAlternative SplicingBRAF geneBioinformaticsBiostatistics CoreCandidate Disease GeneCell LineCell physiologyCellsDNADNA Sequence AlterationDataDependencyDrug resistanceEventExtinction (Psychology)FundingGenesGenomicsGoalsGrowthHumanKineticsLeadershipMalignant NeoplasmsMeta-AnalysisModelingMusPathway interactionsPharmaceutical PreparationsPoint MutationRNARNA InterferenceRelapseResearchResearch PersonnelResistanceResistance developmentSamplingScientistSpliced GenesThe Cancer Genome AtlasTranscriptTranscription AlterationWorkanalytical methodanalytical toolcancer genomeclinically relevantdesigndifferential expressiondrug developmentexperimental studyfusion genegenetic analysisgenome analysisgenomic datagenomic profilesimprovedinformatics infrastructureinhibitor/antagonistinsertion/deletion mutationmelanomamembermolecular subtypesmutantnext generationprogramsresistance generesponsesmall hairpin RNAtargeted treatmenttooltranscriptometumor
项目摘要
The goal of this Core is to provide the analytical tools and statistical and computational expertise needed to
design and analyze the high throughput experiments and data generated by the Projects and Cores of this
POI. Additionally, this Core will integrate the data resulting from the Project with external cancer genome
data such as that generated by The Cancer Genome Atlas (TCGA) project, in order to elucidate the
mechanism(s) of drug resistance.
The Specific Aims of Core 3 are (1) to perform genomic characterization of human and mouse cancer
genomes and integrating these data to identify events that cause resistance; (2) Analyze the shRNA and
drug response data to identify dependencies in pre-treatment and relapsed cells; (3) Integrate data from this
P01 with comprehensive genomic data generated by The Cancer Genome Atlas (TCGA) project to increase
statistical power.
At the end of the funded period, integrative analysis of all data produced within this P01 and external data
will yield a clear set of hypotheses regarding candidate genes, pathways and drugs that are involved in and
can affect the development of drug resistance in BRAF-mutant melanoma.
该核心的目标是提供所需的分析工具以及统计和计算专业知识,
设计和分析高通量的实验和数据所产生的项目和核心,
POI。此外,该核心将整合项目产生的数据与外部癌症基因组
例如癌症基因组图谱(TCGA)项目产生的数据,以阐明
耐药机制。
核心3的具体目标是(1)进行人类和小鼠癌症的基因组表征
基因组并整合这些数据以鉴定引起抗性的事件;(2)分析shRNA,
药物反应数据,以确定治疗前和复发细胞的依赖性;(3)整合来自此的数据
P01与癌症基因组图谱(TCGA)项目生成的综合基因组数据,
统计力量
在资助期结束时,综合分析本P01内产生的所有数据和外部数据
将产生一组关于候选基因,途径和药物的明确假设,
可以影响BRAF突变型黑色素瘤耐药性的发展。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('GAD A GETZ', 18)}}的其他基金
Center for comprehensive proteogenomic data analysis
综合蛋白质组数据分析中心
- 批准号:
10440579 - 财政年份:2022
- 资助金额:
$ 13.78万 - 项目类别:
Center for comprehensive proteogenomic data analysis
综合蛋白质组数据分析中心
- 批准号:
10644013 - 财政年份:2022
- 资助金额:
$ 13.78万 - 项目类别:
Comprehensive analysis of point mutations in cancer
癌症点突变综合分析
- 批准号:
10301857 - 财政年份:2021
- 资助金额:
$ 13.78万 - 项目类别:
Comprehensive analysis of point mutations in cancer
癌症点突变综合分析
- 批准号:
10491092 - 财政年份:2021
- 资助金额:
$ 13.78万 - 项目类别:
Comprehensive analysis of point mutations in cancer
癌症点突变综合分析
- 批准号:
10676830 - 财政年份:2021
- 资助金额:
$ 13.78万 - 项目类别:
Global Infrastructure for Collaborative High-throughput Cancer Genomics Analysis
协作高通量癌症基因组分析的全球基础设施
- 批准号:
9571405 - 财政年份:2016
- 资助金额:
$ 13.78万 - 项目类别:
Global Infrastructure for Collaborative High-throughput Cancer Genomics Analysis
协作高通量癌症基因组分析的全球基础设施
- 批准号:
9355157 - 财政年份:2016
- 资助金额:
$ 13.78万 - 项目类别:
Global Infrastructure for Collaborative High-throughput Cancer Genomics Analysis
协作高通量癌症基因组分析的全球基础设施
- 批准号:
10011769 - 财政年份:2016
- 资助金额:
$ 13.78万 - 项目类别:
Discovery of clinically distinct CLL subgroups by integrative mapping of large-scale CLL genetic, expression and clinical data
通过大规模 CLL 遗传、表达和临床数据的综合绘图发现临床上不同的 CLL 亚组
- 批准号:
10005157 - 财政年份:2016
- 资助金额:
$ 13.78万 - 项目类别:
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