Visualization software for genomics

为了最大限度地受益于基因组学中的大数据，生物学家需要软件工具来增强我们在基因组学中的作用。 天生的认知和视觉能力。我们的视觉和认知系统拥有非凡的力量 识别模式，而视觉分析软件应用程序旨在通过提供 可视化、交互式的数据界面。我的研究重点是开发视觉分析工具和 为生命科学家提供的相关资源，使用集成基因组浏览器作为交付和 实验。集成基因组浏览器是一个快速、高度可定制、免费提供的开源软件 自21世纪初以来开发的桌面基因组浏览器应用程序，现在为数千 世界各地的用户。通过为其数千名用户开发和支持IGB，我的研究贡献了 基因组浏览的创新新方法，其他可视化研究程序可以并做到的 建立在此基础上。在接下来的五年里，我将继续使用最先进的开源软件 适应学术环境的开发方法，以低成本构建和发布高级工具， 同时培训学生学习计算机科学和生物信息学。首先，我将继续开发新的方法 利用新兴的公共和私有云基础架构来满足生物学家日益复杂的需求 用于高级视觉分析。使用商业和免费的公共部门云平台，我的 学生和我将尝试将集成基因组浏览器连接到存储和可视设备 分析计算能力超过了单台台式计算机所能实现的能力。 IGB中的这些高级功能将通过演示如何 应用程序开发人员可以利用云的力量来可视化数据。第二，我会继续 将IGB和相关工具构建成一个其他开发人员可以利用和学习的平台。这一领域 基因组学变化很快。随着新方法和工具的出现，开发人员需要各种方法来创建 与这些新方法相适应的新可视化工具。我的研究旨在为 将使生物信息学的开发人员能够构建和发布新的视觉分析的实验 更快地将算法提供给更多的潜在用户。我的团队将继续发展和 支持针对IGB的App Store，为开发者分发应用程序和为用户提供在线交换中心 查找并安装与他们的研究相关的应用程序。为了支持开发人员，我们将继续改进IGB的 内部应用程序程序员接口(API)，一组方法和类，用于支持 具有不同技能和知识的开发人员将新功能和特性添加到IGB接口。第三, 我的学生和我将继续探索社区、开源软件的更大概念 开发，人性化的软件设计，通过连接工具建造者和工具使用者来促进 协作和创新，造福所有人。

To gain maximum benefit from big data in genomics, biologists need software tools that enhance our in- born cognitive and visual faculties. Our visual and cognitive systems possess extraordinary power to recognize patterns, and visual analytics software applications aim to enhance this ability by providing visual, interactive interfaces to data. My research focuses on developing visual analytics tools and associated resources for life scientists, using Integrated Genome Browser as a platform for delivery and experimentation. Integrated Genome Browser is a fast, highly customizable, freely available open source desktop genome browser application developed since the early 2000s that now serves thousands of users worldwide. By developing and supporting IGB for its thousands of users, my research contributes innovative new approaches for genome browsing that other visualization research programs can and do build upon. During the next five years, I will continue using state-of-the-art open source software development methods adapted to an academic setting to build and release advanced tools at low cost, while training students in computer science and bioinformatics. First, I will continue to develop new ways to exploit emerging public and private cloud infrastructure to meet biologists’ increasingly complex needs for advanced visual analytics. Using commercial and free-of-charge, public sector cloud platforms, my students and I will experiment with connecting Integrated Genome Browser to storage and visual analytics computing capability exceeding what is possible to achieve on a single, desktop computer. These advanced features within IGB will help move the entire field forward by demonstrating how application developers can harness the power of the cloud for visualizing data. Second, I will continue to build IGB and related tools into a platform that other developers can exploit and learn from. The field of genomics changes rapidly. As new methods and tools come on-line, developers need ways to create new visualization tools suited to these new methods. My research aims to provide a platform for experimentation that will enable developers in bioinformatics to build and release new visual analytics algorithms more rapidly to larger numbers of potential users. My group will continue to develop and support an App Store for IGB, an on-line clearinghouse for developers to distribute Apps and for users to find and install Apps relevant to their research. To support developers, we will continue to improve IGB’s internal application programmer’s interface (API), a collection of methods and classes crafted to enable developers of varying skill and knowledge to add new functions and features to the IGB interface. Third, my students and I will continue to explore larger concepts of community, open source software development, and humane software design by connecting tool builders with tool users to promote collaboration and innovation for the benefit of all.