Bioinformatics Shared Resource

生物信息学共享资源

• 批准号: 10362641
• 负责人: Jean-Pierre A Kocher
• 金额: $ 20.68万
• 依托单位: MAYO CLINIC ROCHESTER
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-04-25 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10362641
• 关键词: Area; Arizona; Attention; Bioinformatics; Bioinformatics Shared Resource; Biological; Biostatistics Shared Resource; Breast; Cancer Center Support Grant; Categories; Clinic; Clinical Research; Code; Collaborations; Communities; Complement; Comprehensive Cancer Center; Data; Data Set; Data Sources; Development; Ensure; Faculty; Florida; Funding; Genomics; Grant; Hematologic Neoplasms; Human Resources; Infrastructure; Institution; Investments; Lead; Malignant Neoplasms; Malignant neoplasm of gastrointestinal tract; Mayo Clinic Cancer Center; Methods; Mission; Multiple Myeloma; Ovarian Lymphoma; Pancreas; Pathway Analysis; Pathway interactions; Positioning Attribute; Publications; Publishing; Quality Control; Research; Research Personnel; Resource Sharing; Resources; Review Literature; Services; Site; Techniques; The Cancer Genome Atlas; Update; Variant; Woman; Work; analytical method; biobank; commercial application; computer cluster; data access; data exchange; data management; design; exhaustion; experience; genome analysis; genomic data; improved; member; novel; open source; operation; programs; secondary analysis; tool; web portal

BIOINFORMATICS SHARED RESOURCE PROJECT SUMMARY The mission of the Bioinformatics Shared Resource (BIC) is to provide Mayo Clinic Cancer Center (MCCC) members access to cutting-edge bioinformatics services and research collaborations through a highly experienced team of bioinformaticians. There are 4 categories of service lines offered by the BIC: 1) preprocessing of `omics' data using a suite of cutting-edge workflows; 2) exhaustive annotation services critical to the first-level interpretation of variants; 3) interpretation services (or tertiary analysis) involving pathway analysis; and 4) data-access services that provide centrally managed avenues to external data sources resources such as TCGA, GEO, and GTEX and to internal datasets (Mayo Clinic Biobank, Mayo Genomic Consortium), and genomics data-management solutions for large genomics projects. The BIC has made significant investments in developing the infrastructure to preprocess and interpret genomics data. With the help of Research IT, the bioinformatics technical team has implemented a comprehensive suite of workflows designed by and for faculty. This infrastructure is kept up to date by reviewing and integrating “best of breed” open-source applications. When a workflow solution is not readily implementable from open-source applications, the BIC engage faculty in the design of novel methods. In addition to preprocessing workflows, applications have been developed to prioritize and filter variants and to visualize variants in the context of biological pathways, complementing a set of licensed commercial applications. Most importantly, the BIC has positioned itself as a bioinformatics research collaborator with MCCC members. BIC has representation at all 3 MCCC sites: Mayo Clinic in Rochester, MN (MCR); Mayo Clinic in Arizona (MCA); and Mayo Clinic in Florida (MCF). Over the last 5 years, BIC has supported more than 1240 projects for 176 MCCC members. During this period, BIC faculty were listed as key personnel on more than 60 submitted grants. Finally, BIC faculty and technical staff were co-authors of over 347 publications with MCCC members. BIC faculty are engaged in the Women's Cancer, Hematologic Malignancies and Gastrointestinal Cancer Programs and their associated Breast, Ovarian, Lymphoma, Multiple Myeloma, and Pancreatic SPOREs. The BIC has established close partnerships with the Genome Analysis Shared Resource and Biostatistics Shared Resource to provide effective and seamless support to MCCC members. The BIC has also partnered with the institution's Research IT resource to establish and maintain the infrastructure needs to manage genomics data and design optimized workflows.

生物信息学共享资源项目摘要 生物信息学共享资源（BIC）的使命是提供梅奥诊所癌症中心（MCCC） 会员通过高度的高度访问尖端的生物信息学服务和研究合作 经验丰富的生物信息学家团队。 BIC提供了4种服务线：1） 使用一套尖端工作流程对“ OMIC”数据进行预处理； 2）详尽的注释服务至关重要 对变体的第一级解释； 3）涉及途径的解释服务（或三级分析） 分析; 4）为外部数据源提供中央管理途径的数据访问服务 TCGA，GEO和GTEX等资源以及内部数据集（Mayo Clinic Biobank，Mayo基因组 财团）和大型基因组项目的基因组学数据管理解决方案。 BIC做了 在开发基础架构以进行预处理和解释基因组学数据方面的大量投资。与 研究的帮助，生物信息学技术团队已经实施了一系列的工作流程 由教师设计。通过审查和整合“最佳品种”，该基础设施保持最新状态 开源应用程序。当不容易从开源实现工作流解决方案时 应用程序，BIC参与新方法的设计。除了预处理工作流程外， 已经开发了应用程序来确定和过滤变体，并在 生物途径，完成一组许可的商业应用。 最重要的是，BIC已将自己定位为MCCC成员的生物信息学研究合作者。 BIC在所有3个MCCC地点都有代表性：明尼苏达州罗切斯特市的Mayo诊所（MCR）；亚利桑那州的梅奥诊所 （MCA）;和佛罗里达州的梅奥诊所（MCF）。在过去的5年中，BIC支持了1240多个项目 176名MCCC成员。在此期间，BIC教师被列为60多个关键人物 提交的赠款。最后，BIC教师和技术人员是与MCCC的347多个出版物的合着者 成员。 BIC教师从事女性癌症，血液学恶性肿瘤和胃肠道 癌症计划及其相关的乳房，卵巢，淋巴瘤，多发性骨髓瘤和胰腺 孢子。 BIC已与基因组分析共享资源建立了密切的伙伴关系， 生物统计学共享资源，为MCCC成员提供有效和无缝的支持。 BIC拥有 还与该机构的研究资源合作，以建立和维护基础架构的需求 管理基因组学数据和设计优化的工作流程。