Bioinformatics Shared Resource

生物信息学共享资源

• 批准号: 10570934
• 负责人: Andrew V Kossenkov
• 金额: $ 26.31万
• 依托单位: WISTAR INSTITUTE
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-04-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10570934
• 关键词: ATAC-seq; Address; Advanced Development; Algorithms; Alternative Splicing; Area; Award; Basic Cancer Research; Bioinformatics Shared Resource; Biological Markers; Biometry; Budgets; Cancer Biology; Cancer Center; Cancer Center Support Grant; Cancer Research Project; ChIP-seq; Collaborations; Complex; Computational Biology; Computer Models; Copy Number Polymorphism; Custom; Data; Data Analyses; Data Security; Data Set; Databases; Doctor of Philosophy; Dryness; Elements; Emerging Technologies; Ensure; Environment; Faculty; Faculty Recruitment; Feedback; Fox Chase Cancer Center; Gene Expression; Gene Expression Regulation; Genetic Polymorphism; Genomics; Genotype; Grant; Growth; Information Technology; Institution; Laboratories; Location; Malignant Neoplasms; Mass Spectrum Analysis; Measures; Medical Research; Messenger RNA; Methylation; MicroRNAs; Molecular; Mutation Detection; Nucleotides; Pathway Analysis; Pediatric Hospitals; Pennsylvania; Phenotype; Philadelphia; Positioning Attribute; Postdoctoral Fellow; Process; Productivity; Proteome; Proteomics; Publications; Quality Control; RNA Editing; Recovery; Research; Research Project Grants; Resource Sharing; Resources; Scientist; Secure; Services; Small RNA; Statistical Data Interpretation; System; Systems Biology; Technical Expertise; Technology; Universities; Visualization; anticancer research; bioinformatics tool; complex data; computerized tools; data analysis pipeline; data exchange; data management; epigenetic profiling; genome sequencing; high throughput technology; interest; member; metabolome; multidimensional data; multiple omics; next generation sequencing; programs; promoter; protein expression; recruit; response; screening; tool; transcriptome sequencing; tumor metabolism; web app

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.

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）成员提供了访问国家的 用于分析涉及下一代测序，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 算法，计算工具和数据库非常适合各种各样的定量分析 癌症研究中的实验问题。统计研究所提供的服务包括：（i）统计分析和 （ii）为综合癌症生物学开发先进的生物信息学工具;以及 (iii)数据管理功能在过去的一年里，BSR在专业知识和能力方面都有了显著的增长。 癌症中心支持补助金（CCSG）预算周期。这是为了回应大型专题教师 在CC的招聘，计算密集型研究主题的扩展（癌症代谢， 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。 库勒曼·库雷希博士，Harsh Dweep博士和Hideki Tanizawa博士被招募到BSR工作人员中 在上一个CCSG预算周期，以扩大计算专业知识; Wen-Hwai Horng，M.S.带领 系统管理与重组后的Wistar信息技术协同整合 部门，并与基因组学，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工作人员和科学总监位于干燥的实验室空间内， 系统和计算生物学中心，旁边是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， 这将有助于加强合作，从而提高分析方法的总体水平和结果的质量。在过去 CCSG预算周期，来自所有三个计划的CC成员广泛利用BSR服务， 广泛的癌症相关出版物和赠款。作为关键的额外措施 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。扩大和 上一个CCSG预算周期的生物信息学工具的完善使生物信息学研究处于理想状态， 与最近的CC扩展同步的复杂数据集和新兴技术的最先进的管理。