UCSC Center for Genomic Science and Minority Outreach Program

UCSC基因组浏览器(genome.ucsc.edu)是生物医学的重要资源 社区，提供对序列和注释的及时、方便访问 人类和所有其他脊椎动物参考物种基因组，以及选定的 无脊椎动物模型。然而，下一代网络的巨大容量 测序平台正在迅速超过我们所能提供的所有资源。 此外，生物医学数据集越来越多地被认为可能包含 识别数据，这会引发大量的隐私保护问题。在这份提案中， 我们概述了一个扩展Genome浏览器体系结构以解决这些问题的项目 不断增长的数据量和隐私要求。 我们的初步研究表明，云计算和Web服务模型 (如亚马逊支持的)可能为我们的数据存储提供一个很好的解决方案 需求，并提供高性能的解决方案，用于映射、可视化和 分析下一代测序数据，并提供个性化的 为需要个人信息的生物医学研究科学家提供浏览解决方案 出于机密性或可配置性的原因，使用Genome浏览器的 希望避免安装浏览器的本地镜像的开销。通过这件事 我们计划完成云计算解决方案的可行性研究，并 研究(可能是原型)基因组的Web服务体系结构 浏览器。我们还将简化Genome浏览器镜像站点的安装 为那些仍然需要浏览器本地副本的实验提供包。 通过这项工作，我们将通过增强的 基因组浏览器工具集，提供对大型数据集的高性能访问 以及对机密数据集的可视化和分析进行受控访问。

The UCSC Genome Browser (genome.ucsc.edu) is a vital resource for the biomedical community, providing timely, convenient access to sequence and annotations for the human and all other vertebrate reference species genomes, along with selected model invertebrates. However, the enormous capacity of next-generation sequencing platforms is rapidly outstripping all of the resources we can provide. Additionally, biomedical datasets are increasingly deemed to potentially contain identifying data, which raises substantial privacy protection issues. In this proposal, we outline a project to expand the Genome Browser architecture to address these growing data volume and privacy requirements. Our preliminary studies indicate that cloud computing and a web services model (such as is supported by Amazon) may provide a good solution to our data storage requirements and offer a high-performance solution for mapping, visualizing, and analyzing next-generation sequencing data, as well as providing a personalized browsing solution for biomedical research scientists who require an individual instance of the Genome Browser for confidentiality or configurability reasons, but wish to avoid the overhead of installing a local mirror of our browser. Through this project we plan to complete a feasibility study of the cloud computing solution and investigate (and potentially prototype) a web services architecture for the Genome Browser. We will also streamline the Genome Browser mirror site installation package for those labs that still require a local copy of the browser. Through this work, we will enhance biomedical research through an enhanced Genome Browser toolset that provides high-performance access to large datasets and controlled access for the visualization and analysis of confidential datasets.