Cancer Informatics Shared Resource

癌症信息学共享资源

基本信息

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
项目类别：
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

项目摘要

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 会员提供最先进的生物信息学和临床信息学服务，提供尖端方法、工具、基础设施以及专家咨询和合作，癌症研究人员。上一时期，临床与转化科学研究所 (CTSI) 和健康信息研究所 (IHI) 与 MCC 协商后，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张，导致组织重组和教师招聘。 Aliferis 博士分享了 MCC 领导下将生物信息学与医学信息学相结合的愿景。因此，CISR 是由整合MCC的生物信息学咨询服务和癌症临床信息学服务，原称为肿瘤医学信息学服务 (OMIS)，其中健康信息学研究所生物信息学咨询服务，同时在 IHI 中维持一个以癌症为中心的信息学小组。这战略整合将极大地扩展癌症信息学分析大规模数据集的能力利用 UMN 扩展的信息学资源，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），高通量检测、安全数据环境和临床试验管理的信息学支持系统。 CISR 将在过去信息学成功的基础上扩展和加强癌症生物信息学研究开发，扩大咨询服务范围，指导临床基因组的发展信息学，并开发系统范围的流程来整合临床和基因组数据以支持转化以及个性化肿瘤学的临床研究。 2016年，王金华教授博士，一位著名的计算生物学家，研究兴趣为高吞吐量癌症基因组学项目，被招募到 Direct CISR。同样新的是他的直接报告助理艾哈迈德·阿布萨拉赫教授博士，领导癌症信息学咨询服务。两把钥匙生物信息学工作人员，博士。 CISR 成立时，Aaron Sarver 和 Nuri Alpay Temiz 被晋升为 IHI 教员，并与王博士密切合作，加强生物信息学合作和咨询。 CISR 在五个领域提供对 MCC 临床研究任务至关重要的咨询服务和专业知识主要领域：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，基础设施集成和方法开发； 3) 开发新基因组学分析方法技术; 4）大数据分析和精准肿瘤学教育培训； 5) 临床试验数据管理基础设施和拨款数据集成。除了支持行政管理需求外 MCC、CISR 支持转化治疗实验室 (MSC- LIMS）和临床试验办公室（OnCore）。