Bioinformatics Shared Resource

生物信息学共享资源-项目摘要/摘要 生物信息学共享资源（BSR）为以下方面提供必要的服务和技术支持： CSHL癌症中心成员的生物信息学。基因组时代对生物信息学的普遍需求， 生物学研究的各个方面使其成为癌症研究人员的重要工具。在过去的五年里，A 共有21名癌症中心成员（57%的成员）使用了生物信息学编程和分析 BSR的服务，占其总使用量的93%。在此期间，这已促成了60篇出版物 期BSR的目标是让癌症中心成员获得最先进的生物信息学 专业知识和支持。这包括咨询癌症中心成员，以找到最好的可用 生物信息学软件为他们的特定项目，以及开发新的工具和技术，癌症 中心成员的项目推动了目前可用的边界。下一代 测序技术已经彻底改变了可以解决的科学问题， 需要改进的统计分析工具和标准化的分析协议。大量的 所产生的数据也使得对基本和高级生物信息学支助的需求增加。 BSR在构建支持这些大型计算机所需的计算基础设施方面发挥了积极作用， 大规模基因组学项目。在过去的五年里，BSR开发了新的计算工具， 测序数据分析，建立了测序数据分析的标准管道，构建了强大的 计算服务器，以支持CSHL癌症社区的数据分析，并培训了学生， CSHL的博士后学者使用这些新的计算工具。一个主要目标是不断升级 并改进这些计算支持结构，以确保测序数据的长期可持续性 CSHL癌症中心的分析。第二个主要目标是提供计算基础设施， 仍然是癌症研究的前沿。具体而言，在未来五年期间，BSR打算 开发新的计算工具，以解决癌症研究前沿的最新问题， 包括开发支持单细胞测序研究的软件， 用于功能基因组学研究的CRISPR指导RNA。

Bioinformatics Shared Resource - Project Summary/Abstract The Bioinformatics Shared Resource (BSR) provides essential services and technical support for all aspects of bioinformatics for CSHL Cancer Center members. The pervasive need for Bioinformatics in the genomic era for all aspects of biological research makes it an essential tool for cancer researchers. Over the past five years, a total of 21 Cancer Center members (57% of members) used the bioinformatics programming and analysis services of the BSR, accounting for 93% of its total use. This has contributed to 60 publications over this time period. The goal of the BSR is to give Cancer Center members access to state-of-the-art bioinformatics expertise and support. This includes consulting with Cancer Center members to find the best available bioinformatics software for their particular projects, as well as developing new tools and techniques for Cancer Center members whose projects push the boundaries of what is currently available. Next-generation sequencing technology has revolutionized the scientific questions that can be addressed, leading to a pressing need for both improved statistical analysis tools and standardized analysis protocols. The large volumes of data created have also necessitated an increased need for both basic and advanced bioinformatics support. The BSR has taken a proactive role in building the computational infrastructure required to support these large- scale genomics projects. During the past five years, the BSR developed novel computational tools for sequencing data analysis, established standard pipelines for sequencing data analysis, built powerful computational servers to support data analysis for the CSHL cancer community, and trained the students and postdoctoral scholars at CSHL to use these new computational tools. One major goal is to continually upgrade and improve these computational support structures to ensure the long-term sustainability of sequencing data analysis at the CSHL Cancer Center. The second major goal is to contribute computational infrastructure that remains at the forefront of cancer research. Specifically, during the next five year period, the BSR intends to develop novel computational tools to address the newest questions at the forefront of cancer research, including the development of software to support single-cell sequencing studies and to aid in the design of CRISPR guide RNAs for functional genomics studies.