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Cancer Bioinformatics: Data analysis and method development for the Yale Cancer Center

癌症生物信息学：耶鲁癌症中心的数据分析和方法开发

基本信息

批准号：
10710188
负责人：
Juan Francisco Lopez Giraldez
金额：
$ 13.98万
依托单位：
YALE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-27 至 2027-07-31
项目状态：
未结题

项目摘要

ABSTRACT Bioinformatics skills and tools are critical for the analyses of vast amount of data generated by Next-Generation Sequencing (NGS) and have become an integral field for gaining insight into cancer biology. While laboratory protocols to generate NGS data have become more standardized, researchers find it difficult to bring expertise in bioinformatic data analysis into their practice. The Yale Cancer Center (YCC), one of the 51 NCI-Designated Comprehensive Cancer Centers in the nation, aims to understand and prevent cancer, detect cancer early, and manage cancer treatments more accurately and effectively. YCC is committed to fulfilling these goals by supporting collaborative research and education activities aimed at achieving breakthrough discoveries and training future leaders in cancer science and medicine. The YCC supports and manages Shared Resources that provide unique expertise and enabling technologies that enrich the scope and expedite progress for each of the YCC research programs. As Associate Director of Bioinformatics at the Yale Center for Genome Analysis (YCGA), one of the YCC Shared Resources, I established the bioinformatics analysis services for the YCC with the goal of bringing bioinformatics and NGS expertise closer to the cancer investigators. My bioinformatics work with them for the last 9 years has focused on three areas: 1) providing full “design-to-publication” bioinformatics support; 2) facilitating access to new genomic technologies and develop/build new analytical pipelines to enable cutting edge genomics; and 3) providing training and education in cancer bioinformatics through mentoring, seminars, and workshops. I have brought such expertise to over 300 projects for 78 laboratories, have developed new data analysis pipelines and enabled new NGS applications, and have trained many students and researchers to become proficient in their own bioinformatics analyses. During my work for the YCC, I have co-authored over 28 publications in leading scientific journals with YCC investigators, involving a diverse set of analysis for different techniques, cancer types, and organisms. The support of the R50 award will allow me to continue to develop and use bioinformatics tools to increase the progress and scope of cancer research and provide broader access and training to YCC researchers.

摘要生物信息学技能和工具对于分析生物信息学产生的大量数据至关重要。下一代测序（NGS），并已成为一个不可分割的领域，癌症生物学虽然生成NGS数据的实验室协议已经变得越来越多，标准化，研究人员发现很难将生物信息学数据分析的专业知识纳入他们的研究中。实践耶鲁大学癌症中心（YCC）是51个NCI指定的综合癌症中心之一。中心，旨在了解和预防癌症，早期发现癌症，癌症治疗更加准确和有效。YCC致力于实现这些目标，支持旨在实现突破的合作研究和教育活动发现和培养癌症科学和医学的未来领导者。YCC支持和管理共享资源，提供独特的专业知识和支持技术，的范围和加快每一个YCC研究计划的进展。作为副主任耶鲁大学基因组分析中心（YCGA）的生物信息学，YCC共享的资源，我为YCC建立了生物信息学分析服务，生物信息学和NGS专业知识更接近癌症研究人员。我的生物信息学工作他们在过去的9年里一直专注于三个领域：1）提供全面的“设计到出版” 生物信息学支持; 2）促进获得新的基因组技术和开发/建立新的分析管道，以实现尖端基因组学;和3）提供培训和教育，癌症生物信息学通过指导，研讨会和讲习班。我带来了为78个实验室的300多个项目提供专业知识，开发了新的数据分析管道并启用了新的NGS应用程序，并培训了许多学生和研究人员，精通自己的生物信息学分析。在我为YCC工作期间，我与人合著了与YCC研究人员在领先的科学期刊上发表了超过28篇论文，涉及各种各样的分析不同的技术、癌症类型和生物体。R50奖的支持将使我能够继续开发和使用生物信息学工具，以增加进展，癌症研究的范围，并为YCC研究人员提供更广泛的访问和培训。