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Core B: Bioinformatics and Biostatistics Core

Core B: Bioinformatics and Biostatistics Core
核心 B:生物信息学和生物统计学核心
批准号:
10270677
负责人:
Jinghui Zhang
金额:
$23.18万
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
未结题
起止时间:
2003-04-01 至 2026-08-31
关键词:
ATAC-seqAddressAnimalsAutomobile DrivingBioinformaticsBiological AssayBiological ModelsBiological ProcessBiometryBiostatistics CoreBrainCellsChIP-seqChildhoodChildhood Brain NeoplasmChildhood Cancer Genome ProjectChromatinCloud ComputingComputational BiologyComputer AnalysisCoupledDataData AnalysesData SetDatabasesDependenceDepositionDevelopmental ProcessDiffuse intrinsic pontine gliomaDisciplineDiseaseEncyclopedia of DNA ElementsEnsureEpigenetic ProcessExperimental DesignsGap JunctionsGenomicsGliomaGoalsHigh Performance ComputingHumanInfrastructureMethodsMethylationMolecularMolecular ProfilingMutationNeoplasmsOncogenicPathogenesisPathway AnalysisPathway interactionsPhenotypePlayProcessProgram Research Project GrantsProteomeProteomicsPublishingQuality ControlRegulationReproducibilityResearch DesignResearch Project GrantsRoleSaint Jude Children&aposs Research HospitalSample SizeSamplingScientistSecureStatistical Data InterpretationSubgroupThe Cancer Genome AtlasTherapeutic InterventionTransposaseUniversitiesVisualization softwareWashingtonWorkanalytical toolbisulfite sequencingcloud platformcomputational pipelinesdata integrationdata managementdata qualitydata resourcedata sharingdata to knowledgedesignepigenomeepigenomicsexome sequencingexperimental analysisexperimental studygenetic signaturegenome analysisgenomic datahigh dimensionalityhindbrainmedulloblastomamembermouse modelmultimodalityneuropathologynovelphenotypic dataprogramsribosome profilingsingle cell analysissingle-cell RNA sequencingtherapeutic targettranscriptometranscriptome sequencingtranscriptomicstreatment responsetumortumorigenesiswhole genome

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Summary/Abstract The Bioinformatics and Biostatistics Core is responsible for providing high-quality genomic and epigenomic data analysis for the four research projects outlined in this Program, for developing infrastructure for cross-project data sharing, and for identifying important biological processes involved in the initiation and progression of glioma and medulloblastoma by integrating cross-project genomic data sets, and for comparing data from the Program Project Grant with the extensive data resource generated from by other large-scale genomic projects including St. Jude/Washington University Pediatric Cancer Genome Project (PCGP), The Encyclopedia of DNA Elements (ENCODE) and The Cancer Genome Atlas Project (TCGA). Core B has access to state of art computing infrastructure at the St. Jude High Performance Computing Facility (HPCF) as well as analytical tools, computational pipeline and data management infrastructure established at the Department of Computational Biology. Core B will be responsible for analyzing data generated from the Program Project including exome sequencing, RNA-Seq, Ribo-seq, whole-genome bisulfite sequencing (WGBS), ChIP-Seq, Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq) and methylation array. We will apply the most advanced public methods as well as novel methods developed by the Department of Computational Biology or the Biostatistics Department. We will also provide biostatistical expertise for all projects.
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