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Bioinformatics Shared Resource

Bioinformatics Shared Resource
生物信息学共享资源
批准号:
9917705
负责人:
Andrew V Kossenkov
金额:
$24.43万
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
项目状态:
未结题
起止时间:
至
关键词:
ATAC-seqAddressAdvanced DevelopmentAlgorithmsAlternative SplicingAreaAwardBasic Cancer ResearchBioinformatics Shared ResourceBiological MarkersBiometryBudgetsCancer BiologyCancer CenterCancer Center Support GrantCancer Research ProjectChIP-seqCollaborationsComplexComputational BiologyComputer ModelsCopy Number PolymorphismCustomDataData AnalysesData SecurityData SetDatabasesDoctor of PhilosophyElementsEmerging TechnologiesEnsureEnvironmentFacultyFaculty RecruitmentFeedbackFox Chase Cancer CenterGene ExpressionGene Expression RegulationGenetic PolymorphismGenomeGenomicsGenotypeGrantGrowthInformation TechnologyInstitutesInstitutionLaboratoriesLocationMalignant NeoplasmsMass Spectrum AnalysisMeasuresMedical ResearchMessenger RNAMethylationMicroRNAsMolecularMutation DetectionNucleotidesPathway AnalysisPathway interactionsPediatric HospitalsPennsylvaniaPhenotypePhiladelphiaPositioning AttributePostdoctoral FellowProcessProteomeProteomicsPublicationsQuality ControlRNA EditingRecoveryResearchResearch Project GrantsResource SharingResourcesScientistSecureServicesSmall RNAStatistical Data InterpretationSystems BiologySystems IntegrationTechnical ExpertiseTechnologyTimeUniversitiesVisualizationanticancer researchbasebioinformatics toolcomputerized toolsdata analysis pipelinedata exchangedata managementepigenetic profilinghigh dimensionalityhigh throughput technologyinterestmembermetabolomemultidimensional datamultiple omicsnext generation sequencingprogramspromoterprotein expressionrecruitresponsescreeningtooltranscriptome sequencingtumor metabolismweb app

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中文摘要
翻译
项目摘要-生物信息学共享资源 生物信息学共享资源(BSR)为癌症中心(CC)成员提供访问- 用于分析高维数据集的最先进技术包括下一代测序、微阵列 蛋白质组和代谢组平台,以及多组学结果的整合。BSR开发了 算法、计算工具和数据库非常适合于对各种 癌症研究中的实验问题。BSR提供的服务包括:(I)统计分析和 计算机模拟;(2)为综合癌症生物学开发先进的生物信息学工具;以及 (三)数据管理。在过去的一年中,BSR在专业知识和能力方面经历了显著的增长 癌症中心支持补助金(CCSG)预算周期。这是对庞大的专题教职员工的回应 在CC招聘,扩大计算密集型研究主题(癌症新陈代谢, 表型分析)以及对跨多种技术的高维数据分析的日益增长的需求。 Rehman Qureshi博士、Harst Dweep博士和Hideki Tanizawa博士被招募为BSR工作人员。 在上一个CCSG预算周期,以扩大计算专业知识;洪文辉领导 系统管理与重组后的Wistar信息技术(IT)的协同集成 与基因组学、蛋白质组学和 分子筛选共享资源以确保数据的无缝流动和适当的质量控制, 反馈和故障排除。BSR工作人员和科学主任位于干燥的实验室空间内 系统和计算生物学中心,仅次于生物统计学教师和博士后研究员 对计算生物学有浓厚的兴趣。BSR的中心位置促进了科学交流和 合作,从而提高分析方法的整体水平和结果的质量。在过去的几年里 CCSG预算周期,所有三个计划的CC成员都广泛利用了BSR服务 一系列与癌症相关的出版物和奖项。作为关键的额外衡量标准 由于其服务的影响,BSR与邻近的学术机构进行了富有成效的合作 和癌症中心,包括宾夕法尼亚大学、费城儿童医院(CHOP)、福克斯 大通癌症中心、兰克瑙医学研究所和德雷克塞尔大学。扩容和 对上一个CCSG预算周期的生物信息学工具的改进使BSR处于理想的状态 与最近的CC扩展同步的复杂数据集和新兴技术的一流管理。
英文摘要
PROJECT SUMMARY – BIOINFORMATICS SHARED RESOURCE The Bioinformatics Shared Resource (BSR) provides Cancer Center (CC) members with access to state-of- the-art technology for analysis of high dimensional datasets involving next-generation sequencing, microarray, proteome and metabolome platforms, as well as integration of multi-omics results. The BSR develops algorithms, computational tools and databases ideally suited for the quantitative analysis of a wide variety of experimental questions in cancer research. Services offered by the BSR include: (i) statistical analyses and computational modeling; (ii) development of advanced bioinformatics tools for integrative cancer biology; and (iii) data management. The BSR has undergone significant growth in expertise and capabilities during the last Cancer Center Support Grant (CCSG) budget cycle. This was in response to the large thematic faculty recruitment in the CC, the expansion of computational-intensive research themes (cancer metabolism, phenotype profiling) and the growing need for high-dimensional data analysis across multiple technologies. Rehman Qureshi, Ph.D., Harsh Dweep, Ph.D. and Hideki Tanizawa, Ph.D. were recruited to the BSR staff during the last CCSG budget cycle to expand computational expertise; Wen-Hwai Horng, M.S. led the synergistic integration of system administration with a reorganized Wistar Information Technology (IT) Department, and a data analysis pipeline was developed synergistically with the Genomics, Proteomics and Molecular Screening Shared Resources to ensure seamless flow of data and appropriate quality control, feedback and troubleshooting. BSR staff and the Scientific Director are located within dry laboratory space in the Center for Systems and Computational Biology, next to Biostatistics faculty and post-doctoral fellows with strong interests in computational biology. The central location of the BSR facilitates scientific exchange and collaborations, thereby increasing the overall level of analytic approaches and quality of results. During the last CCSG budget cycle, CC members from all three Programs have extensively utilized BSR services contributing to a broad portfolio of cancer-related publications and grant awards. As an additional measure of the critical impact of its services, the BSR engages in productive collaborations with neighboring academic Institutions and Cancer Centers including the University of Pennsylvania, Children’s Hospital of Philadelphia (CHOP), Fox Chase Cancer Center, Lankenau Institute for Medical Research, and Drexel University. The expansion and refinement of bioinformatics tools of the last CCSG budget cycle have ideally positioned the BSR for state-of- the-art management of complex datasets and emerging technologies in sync with the recent CC expansion.
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Bioinformatics Core
  • 批准号:
    10733195
  • 项目类别:
  • 资助金额:
    $4.62万
  • 财政年份:
    2017
  • 负责人:
    Andrew V Kossenkov
  • 依托单位:
Bioinformatics Core
  • 批准号:
    10251041
  • 项目类别:
  • 资助金额:
    $9.13万
  • 财政年份:
    2017
  • 负责人:
    Andrew V Kossenkov
  • 依托单位:
Bioinformatics Core
  • 批准号:
    10681842
  • 项目类别:
  • 资助金额:
    $2.61万
  • 财政年份:
    2017
  • 负责人:
    Andrew V Kossenkov
  • 依托单位:
Bioinformatics Core
  • 批准号:
    9446224
  • 项目类别:
  • 资助金额:
    $32.79万
  • 财政年份:
    2017
  • 负责人:
    Andrew V Kossenkov
  • 依托单位:
海外基金