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

• 批准号: 10517724
• 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
• 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
• 来源: https://reporter.nih.gov/project-details/10517724
• 关键词: Area; Award; Bioinformatics; Cancer Biology; Cancer Science; Comprehensive Cancer Center; Data; Data Analyses; Education; Educational workshop; Future; Genetic Diseases; Genomics; Goals; Inherited; Journals; Laboratories; Malignant Neoplasms; Medicine; Mentors; Mutation; NCI Center for Cancer Research; Organism; Protocols documentation; Publications; Research; Research Personnel; Resource Sharing; Services; Standardization; Students; Techniques; Technology; Training; Training and Education; Work; Yale Cancer Center; anticancer research; bioinformatics tool; cancer diagnosis; cancer therapy; cancer type; data analysis pipeline; design; genome analysis; innovation; insight; method development; next generation sequencing; prevent; programs; skills; tool

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.

抽象的 生物信息学技能和工具对于分析大量数据至关重要 下一代测序（NGS），已成为获得深入了解的组成领域 癌症生物学。尽管实验室生成NGS数据的协议已变得更加 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带入他们的 实践。耶鲁癌症中心（YCC），这是51个NCI指定的综合癌症之一 全国的中心，旨在理解和预防癌症，尽早发现癌症并管理 癌症治疗更加准确，有效。 YCC致力于实现这些目标 支持旨在取得突破的协作研究和教育活动 发现和培训癌症科学与医学领域的未来领导者。 YCC支持和 管理共享资源，这些资源提供独特的专业知识和促进技术丰富的技术 每个YCC研究计划的范围和加快进度。作为副主任 耶鲁大学基因组分析中心（YCGA）的生物信息学，YCC共享之一 资源，我为YCC建立了生物信息学分析服务，目的是 生物信息学和NGS专业知识更接近癌症研究者。我的生物信息学与 在过去的9年中，它们集中在三个领域：1）提供完整的“设计与出版物” 生物信息学支持； 2）促进获得新的基因组技术并开发/建立新的 分析管道以实现尖端基因组学； 3）在 癌症通过心理，半手级和讲习班的生物信息学。我带来了这样的 针对78个实验室的300多个项目的专业知识已开发出新的数据分析管道 并启用了新的NGS应用程序，并培训了许多学生和研究人员 熟练自己的生物信息学分析。在YCC的工作中，我合着了 超过28个与YCC调查人员领先的科学期刊的出版物，涉及一套多样化 不同技术，癌症类型和组织的分析。 R50奖的支持 我将继续开发和使用生物信息学工具来增加进度和 癌症研究的范围，为YCC研究人员提供更广泛的访问和培训。