Cancer Informatics Shared Resource

癌症信息学共享资源

• 批准号: 10333237
• 负责人: Jinhua Wang
• 金额: $ 24.87万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-06-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10333237
• 关键词: Area; Big Data; Big Data Methods; Bioinformatics; Bioinformatics Shared Resource; Biometry; Biostatistics Shared Resource; Cancer Center; Cancer Center Support Grant; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Clinical Sciences; Clinical Trials; Collaborations; Computer software; Consult; Consultations; Data; Data Analyses; Data Analytics; Data Science; Data Set; Data Storage and Retrieval; Databases; Degree program; Development; Doctor of Philosophy; Educational Activities; Ensure; Environment; Faculty; Faculty Recruitment; Funding; Future; Generations; Genome; Genomics; Grant; Head; Health; Home; Informatics; Infrastructure; Institutes; Laboratories; Lead; Leadership; Link; Malignant Neoplasms; Medical Informatics; Medical Oncology; Methods; Mission; Modernization; NCI Center for Cancer Research; Natural Language Processing; New York; Positioning Attribute; Postdoctoral Fellow; Privatization; Process; Public Health Informatics; Reporting; Research; Research Personnel; Resource Informatics; Resource Sharing; Secure; Services; Subgroup; System; Technology; Training and Education; Translational Research; Universities; Vision; Work; anticancer research; biomedical informatics; cancer genomics; cancer therapy; clinical development; data integration; data management; data repository; data resource; data sharing; design; genome sequencing; genome-wide; genomic data; health record; high throughput screening; informatics shared resource; interest; laboratory development; large scale data; member; method development; mid-career faculty; open source; precision oncology; professor; recruit; repository; research and development; success; tool; translational cancer research; translational therapeutics

Cancer Informatics Shared Resource Summary The Cancer Informatics Shared Resource (CISR), a newly reorganized Shared Resource of the Masonic Cancer Center (MCC), provides MCC members with state-of-the-art bioinformatics and clinical informatics services, providing cutting-edge methods, tools, infrastructure, and expert consultations and collaborations to cancer researchers. During the previous period, the Clinical and Translational Science Institute (CTSI) and Institute for Health Informatics (IHI), in consultation with the MCC, recruited Dr. Constantin Aliferis to be the Clinical Research Informatics Officer for the UMN. Under Dr. Aliferis' leadership, health informatics at the UMN has expanded rapidly, leading to organizational restructuring and faculty recruitments. Dr. Aliferis shared the vision witn MCC leadership of integrating Bioinformatics with Medical Informatics. Thus, CISR was created by integrating the MCC's BioInformatics consultation service and the cancer clinical informatics services, formerly known as Oncology Medical Informatics Services (OMIS), with the Institute for Health Informatics the Bioinformatics Consultation Services, while maintaining a cancer-focused informatics subgroup in IHI. This strategic integration will greatly expand the cancer informatics capacity for analyzing large-scale datasets by leveraging the expanded informatics resources the UMN including several high-impact informatics methods development labs, a full range of educational activities (including degree programs and specialized courses), informatics support of high-throughput assays, a secure data environment, and a clinical trial management system. CISR will build upon the past informatics successes to expand and strengthen cancer bioinformatics research development, increase the reach of its consulting service, guide the development of clinical genome informatics, and develop system-wide processes to integrate clinical and genomic data to support translational and clinical research for personalized oncology. In 2016, Professor Jinhua Wang, PhD, a noted computational biologist with a research interest in high- throughput cancer genomics projects, was recruited to Direct CISR. Also new is his direct report, Assistant Professor Ahmad AbuSalah, PhD, who leads the cancer informatics consultation services. Two key Bioinformatics staff, Drs. Aaron Sarver and Nuri Alpay Temiz, were promoted to IHI faculty when CISR formed, and are working closely with Dr. Wang to enhance bioinformatics collaborations and consulting. CISR provides consultation services and expertise critical to the clinical research mission of the MCC in five major areas: 1) cancer genomics and clinical data science and analytics; 2) clinical and genomics data sharing, infrastructure integration, and method development; 3) development of methods for analyzing new genomics technology; 4) education and training on big-data analytics and precision oncology; and 5) clinical trial data management infrastructure and grant data integration. In addition to supporting the administrative needs of the MCC, CISR supports significant database applications used by the Translational Therapy Laboratory (MSC- LIMS) and the Clinical Trials Office (OnCore).

癌症信息学共享资源摘要 癌症信息学共享资源（CISR），共济会新重组的共享资源 癌症中心（MCC），为MCC成员提供最先进的生物信息学和临床信息学 服务，提供先进的方法，工具，基础设施，专家咨询和合作， 癌症研究者在上一阶段，临床和转化科学研究所（CTSI）和 卫生信息学研究所（IHI）与MCC协商，聘请Constantin Aliferis博士担任 UMN临床研究信息学官员。在Aliferis博士的领导下，UMN的健康信息学 迅速扩大，导致组织结构调整和教师招聘。Aliferis博士分享了 与MCC的愿景是将生物信息学与医学信息学相结合。因此，CISR是由 整合MCC的生物信息咨询服务和癌症临床信息服务， 被称为肿瘤医学信息学服务（OMIS），与健康信息学研究所， 生物信息学咨询服务，同时在IHI中保持一个以癌症为重点的信息学小组。这 战略整合将大大扩展癌症信息学分析大规模数据集的能力， 利用扩展的信息学资源，UMN包括几种高影响力的信息学方法 开发实验室，全方位的教育活动（包括学位课程和专业课程）， 高通量分析的信息学支持、安全的数据环境和临床试验管理 系统CISR将在过去信息学成功的基础上扩大和加强癌症生物信息学 研究开发，扩大咨询服务范围，指导临床基因组学的发展 信息学，并开发系统范围的流程，以整合临床和基因组数据， 和个性化肿瘤学的临床研究。 2016年，著名的计算生物学家、高科技领域的研究兴趣-王金华教授，博士， 通过癌症基因组学项目，被招募到直接CISR。同样新的是他的直接报告，助理 Ahmad AbuSalah教授，博士，领导癌症信息咨询服务。两个关键 生物信息学工作人员，亚伦Sarver博士和努里Alpay Temiz，晋升为IHI教师时，CISR成立， 并与王博士密切合作，加强生物信息学合作和咨询。 CISR提供咨询服务和专业知识，对MCC的临床研究使命至关重要， 主要领域：1）癌症基因组学和临床数据科学与分析; 2）临床和基因组学数据共享， 基础设施整合和方法开发; 3）开发分析新基因组学的方法 技术; 4）关于大数据分析和精准肿瘤学的教育和培训;以及5）临床试验数据 管理基础设施和授权数据集成。除了支持行政需要外， MCC，CISR支持转化治疗实验室（MSC-）使用的重要数据库应用程序。 LIMS）和临床试验办公室（OnCore）。