Bioinformatics Core
Bioinformatics Core
批准号:
8895849
负责人:
Xiaole Shirley Liu
金额:
$8.09万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-18 至 2016-06-30
关键词:
Acute T Cell LeukemiaAreaBioinformaticsBiomedical ResearchCellsChIP-seqCommunitiesComplexComputational BiologyComputer AnalysisDataData SetDatabasesEpigenetic ProcessGene ExpressionGene Expression ProfilingGene Expression RegulationGenesGoalsGrowthHeadHumanHuman Cell LineInformaticsInstructionMalignant - descriptorMalignant NeoplasmsModelingMolecular ProfilingMusOncogenicProcessResearch DesignResource SharingResourcesServicesSignal TransductionT cell differentiationT-Lymphocytebasecancer cellcomputerized toolscost effectiveexperienceinnovationmeetingsnotch proteinprogenitorprogramssuccessthymocytetooltranscription factor
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The major goals ofthe Core B (Bioinformatics) are to provide the Program with the computational tools and
expertise needed to process, analyze, integrate and interpret complex ChlP-Seq and gene expression
profiling datasets obtained from normal and malignant T cell progenitors. To date, programmatic needs in
these areas have been provided on an ad hoc basis. Creating this Core will provide the Program with
dedicated longitudinal informatics and biostatistical support, which is important for the Program's overall
success. The facility is headed by Dr. X. Shirley Liu, an experienced, highly productive computational
biologist and biostatistician with a track record of innovation in computational analysis of cancer cell
epigenetics and gene regulation. Its principle responsibilities will include analysis of ChlP-Seq data obtained
from human and murine T-ALL cell lines, human and murine pnmary T-ALLs, and nonnal human and
murine thymocyte subsets; analysis of gene expression profiles and/or RNASeq obtained from these cells;
and integrative modeling ofthese ChlP-Seq and gene expression datasets.
The specific aims of Core B in the next project period are as follows:
Aim 1. To process, analyze, and integrate ChlP-Seq and gene expression datasets from normal and
malignant T cell progenitors
Aim 2. To characterize and quantify epigenetic changes associated with T cell differentiation or perturbation
of transcription factors in T-ALL cells
Aim 3. To advise Program Pis on study design and computational/technological advances
Aim 4. To serve as a data repository and resource center for the program and the biomedical research
community as a whole
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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