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.

摘要 生物信息学技能和工具对于分析由 下一代测序(NGS)，并已成为深入了解 癌症生物学。虽然生成NGS数据的实验室协议已经变得更多 标准化后，研究人员发现很难将生物信息数据分析方面的专业知识应用到他们的 练习一下。耶鲁大学癌症中心(YCC)，NCI指定的51种综合癌症之一 旨在了解和预防癌症，及早发现癌症，并管理 更准确、更有效地治疗癌症。YCC致力于通过以下方式实现这些目标 支持旨在实现突破的合作研究和教育活动 癌症科学和医学方面的发现和未来领导者的培训。YCC支持和 管理提供独特专业知识和支持技术的共享资源，从而丰富 每个YCC研究项目的范围和加快进度。担任副董事 耶鲁大学基因组分析中心(YCGA)的生物信息学教授，YCC共享的 资源，我为青年会建立了生物信息学分析服务，目标是为 更接近癌症研究人员的生物信息学和NGS专业知识。我的生物信息学研究 在过去的9年里，他们专注于三个领域：1)提供全面的从设计到出版的服务 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 支持尖端基因组学的分析管道；以及3)在以下方面提供培训和教育 通过辅导、研讨会和研讨会提供癌症生物信息学。我带来了这样的 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 并实现了新的NGS应用，并培养了许多学生和研究人员成为 精通自己的生物信息学分析。在我为青年会工作期间，我与人合著了 与YCC调查人员在领先的科学期刊上发表了超过28篇论文，涉及各种不同的集合 对不同技术、癌症类型和生物体的分析。R50奖项的支持 将使我能够继续开发和使用生物信息学工具，以提高进展和 为癌症研究人员提供更广泛的渠道和培训。