Continued Maintenance and Development of Software: Integrated Genome Browser and

描述(由申请者提供)：生物医学研究越来越多地涉及对巨大数据集的检查。近年来，新的高通量测序技术的引入导致了数十种动植物的新基因组序列的产生，并推动了对单个人类基因组进行测序的重大努力。为了充分利用这些新的大规模数据集，研究人员需要灵活、用户友好的软件，支持从染色体到单个碱基对等不同细节水平的交互、深入的数据探索。集成基因组浏览器(IGB)由全球3500多名科学家使用，它实施了创新但实用的可视化技术，旨在帮助科学家探索基因组规模的数据集，最终导致更好的疾病治疗方法，因为科学家使用IGB对基因和基因组进行更深入的了解。该项目将继续开发IGB软件，增加用户要求的新的数据集成和显示功能，IGB开发人员预计，面对基因组学持续和迅速的技术变化，这些功能将变得越来越重要。其次，该项目将实施旨在提高IGB高级用户生产率的改进措施，这些用户是研究人员，他们通常每天花费许多小时使用该软件来探索他们或他们的合作者创建的或从公共存储库获得的数据集。这些改进包括：增强用户从命令行“脚本”调用IGB的能力，支持IGB与外部分析工具的互操作性，保存和恢复会话，以及改进通过IGB链接从网页调用IGB的技术。该项目还将继续开发和维护基诺维兹软件开发工具包(SDK)，这是一个软件组件库，作为高级可视化能力的基础，如动画缩放，这是IBB用户最喜欢的软件。通过继续维护和开发Genviz SDK，该项目将使IGB成为一个更强大和灵活的软件应用程序，同时也为开发人员提供强大的新工具，为科学家构建先进的可视化软件。 与公共健康相关：生成基因组规模数据集的方法正变得更便宜和更容易获得。我们正在迅速接近这样一个时代，在这个时代，公共卫生专业人员将能够调查大量人的基因组，并将基因与疾病易感性、整体健康和特定治疗结果联系起来。然而，为了利用这些数据，科学家需要好的可视化软件，使探索和分析数据更容易完成。该项目将开发用户友好但具有创新性的可视化和数据共享软件，这将加快生物科学的发现步伐，并最终导致关于人类基因和基因组及其在疾病过程和维持人类健康中所起作用的关键发现。

DESCRIPTION (provided by applicant): Biomedical research increasingly involves examination of huge data sets. In recent years, introduction of new high-throughput sequencing technologies have led to production of new genome sequence for dozens of plants and animals and prompted major efforts to sequence individual human genomes. To take full advantage of these new large-scale data sets, researchers require flexible, user-friendly software that supports interactive, in-depth exploration of data at different levels of detail, ranging from chromosomes to individual base pairs. The Integrated Genome Browser (IGB), used by more than 3,500 scientists worldwide, implements innovative yet practical visualization techniques designed to help scientists explore genome-scale data sets, ultimately leading to better treatments for disease as scientists use IGB to achieve deeper insight into genes and genomes. This project will continue to develop the IGB software, adding new data integration and display features users have requested and which the IGB developers foresee will become increasingly important in the face of on-going and rapid technological change in genomics. Second, the project will implement improvements designed to enhance the productivity of IGB power users, researchers who typically spend many hours per day using the software to explore data sets they or their collaborators have created or obtained from public repositories. These improvements include: enhancing user's ability to invoke IGB from command line "scripts," supporting IGB interoperability with external analysis tools, saving and restoring sessions, and improving techniques for invoking IGB from Web pages via IGB links. The project will also continue development and maintenance of the Genoviz Software Development Kit (SDK), the library of software components that underlies the advanced visualization capabilities such as animated zooming that IGB users most appreciate in the software. By continuing to maintain and develop the Genoviz SDK, the project will make IGB a more robust and flexible software application while also giving developers powerful new tools for building advanced visualization software for scientists. PUBLIC HEALTH RELEVANCE: Methods for generating genome-scale data sets are becoming cheaper and more accessible. We are rapidly approaching a time when public health professionals will be able to survey the genomes of large numbers of people and relate genotype with disease susceptibility, overall health, and outcomes from specific treatments. However, to take advantage of these data, scientists need good visualization software that makes exploring and analyzing the data easier to accomplish. This project will develop user friendly yet innovative visualization and data sharing software that will accelerate the pace of discovery in the biosciences and ultimately lead to critical discoveries about the human genes and genomes and the roles they play in disease processes and maintaining human health.