Bioinformatics Shared Resource

项目概要：生物信息学共享资源 生物信息学已经成为癌症研究的重要组成部分，这是由于多基因的高通量性质。 组学数据（如遗传学、基因组学、表观遗传学、转录组学、蛋白质组学和代谢组学）， 癌症研究项目产生的。因此，存在着开发计算的巨大需求。 收集、处理、存储、分析和促进这些数据的使用的基础设施 癌症研究社区。生物信息学和系统生物学（BSB）的主要目标 资源是为了方便获得生物信息学资源，包括硬件，软件和人员 专业知识;培训研究人员使用这些资源;并为研究项目提供定制支持 包括开发尖端工具和协议，以适应快速变化的技术， 癌症研究领域BSB共享资源配备了本地安装的生物信息学工具， 与癌症研究相关的数据库，由最先进的计算和存储基础设施提供支持。在 除了广泛收集可信赖的开源工具外，共享资源还将提供访问 几个许可的生物信息学软件工具，如Incidity Pathway Analysis，CLC Genomics Spectroscopy、Partek Flow、Schrodinger Molecular Drug Discovery suite和BioCyc Database Collection。 类似地，计算基础设施包括用于数据存储的专用服务器、高性能 计算、数据库和Web开发以及可选的云计算。共享资源提供了广泛的 一系列生物信息学服务，分为五个专题领域，包括（一）分析下一代 基于测序（NGS）的基因组学数据;（ii）基于阵列和系统生物学数据的分析;（iii）机器- 学习、大数据分析和精准医学研究; ㈣开发软件和数据库 生物信息学项目的申请;以及（v）支持实验设计和赠款咨询。在 在过去的资助周期中，共享资源支持了数百个不同的研究项目， 三分之一的共享资源用户海陵弗雷德和帕梅拉·巴菲特癌症中心（BCC）。的 共享资源总监由四名训练有素的支持人员协助，他们具有不同的培训背景， 计算机编程、统计学、癌症基因组学和系统生物学。一个咨询委员会，由 代表联合国大学不同学院的成员监督共享资源政策和程序， 提出建议。共享资源主任还领导了一个癌症基因组学研究项目 和生物信息学，指导学生在癌症生物学培训计划，并与一些 BCC研究人员的参与，以促进定制数据分析协议的开发，以满足不断变化的 癌症研究人员的需求。

PROJECT SUMMARY: BIOINFORMATICS SHARED RESOURCE Bioinformatics has become an essential part of cancer research due to the high-throughput nature of multi- omics data (such as genetic, genomic, epigenetic, transcriptomic, proteomic and metabolomic) that are being generated from cancer research projects. Thus, a tremendous need exists for developing computational infrastructure for the collection, processing, storage, analysis, and facilitation of the use of such data by the cancer research community. The main goals of the Bioinformatics and Systems Biology (BSB) Shared Resource are to facilitate access to bioinformatics resources that include hardware, software and personnel expertise; train researchers in the use of such resources; and provide custom support for research projects including the development of cutting-edge tools and protocols to match the rapidly changing technologies in the realm of cancer research. BSB Shared Resource is equipped with locally installed bioinformatics tools and databases related to cancer research backed by state-of-the-art computational and storage infrastructure. In addition to an extensive collection of trusted open-source tools, the Shared Resource will also provide access to several licensed bioinformatic software tools such as Ingenuity Pathway Analysis, CLC Genomics Workbench, Partek Flow, Schrodinger Molecular Drug Discovery suite, and BioCyc Database Collection. Similarly, the computational infrastructure includes dedicated servers for data storage, high-performance computing, database and web development and optional cloud computing. The Shared Resource offers a wide range of bioinformatics services that fall into five thematic areas including (i) analysis of next-generation sequencing (NGS)-based genomics data; (ii) analysis of array-based and systems biology data; (iii) machine- learning, big-data analysis and precision medicine research; (iv) development of software and database applications for bioinformatics projects; and (v) support for experimental design and grant consultation. In the past funding cycle, the Shared Resource has supported several hundred distinct research projects with over a third of the Shared Resource users hailing from the Fred and Pamela Buffett Cancer Center (BCC). The Shared Resource Director is assisted by four well-trained support staff with diverse training backgrounds in computer programming, statistics, cancer genomics, and systems biology. An advisory board that consists of members representing different colleges at UNMC oversees the Shared Resource policies and procedures and makes recommendations. The Shared Resource Director also leads a research program in cancer genomics and bioinformatics, mentors students in the Cancer Biology Training Program and collaborates with a number of BCC investigators to facilitate the development of customized data analysis protocols that meet the evolving needs of cancer researchers.