RAISE: Big Data Tools: From Bioinformatics To Materials Genomics

该RAIL项目由计算和信息科学与工程局信息和智能系统司的大数据探索和大数据计划、材料研究司的凝聚态物质和材料理论计划、数学和物理科学局的多学科活动办公室以及综合活动办公室联合资助。科学和工程的各个领域都产生了大量的数据。需要有效的工具来分析这些数据并提取有用的信息。在过去的二十年里，在生物数据分析领域取得了很大的进展。显然，如果我们能将这一进展转化到其他领域，我们就可以避免重复努力，并加快在其他领域的发现。该项目将促进最初为生物基因组学开发的方法和工具向材料基因组学转化。为了最大限度地提高科学影响力和在工业界和学术界的使用，将建立的软件工具将传播给广泛的受众。通过利用与东北大数据中心的合作，以及强大的现有机构项目，鼓励康涅狄格大学的多样性，将促进女性和其他代表性不足群体的参与。该项目将允许许多学生使用软件工具获得重要的课堂和研究经验，他们反过来将形成训练有素的劳动力的核心，这些劳动力对于对我们国家经济至关重要的先进行业至关重要。为生物数据开发的一些现有工具可能不直接适用于材料数据。在这种情况下，将开发新的算法技术来适当地修改它们。该项目将设计用于材料分析和发现的工具，以加速材料科学的研究。该项目将支持将生物信息学和材料科学的科学家聚集在一起的研讨会。来自这些领域的科学家之间的互动预计将导致大数据分析的横向进展，从而创造出变革性的知识。东北枢纽以及材料科学发言人将参与该项目的传播工作。

This RAISE project is jointly funded by the Big Data Spokes and BIGDATA Program in the Division of Information and Intelligent Systems in the Directorate for Computing and Information Science and Engineering; the Condensed Matter and Materials Theory Program in the Division of Materials Research and the Office of Multidisciplinary Activities in the Directorate for Mathematical and Physical Sciences; and the Office of Integrative Activities. Large amounts of data get generated in every field of science and engineering. Effective tools are needed to analyze these data and extract useful information. During the past two decades, much progress has been made in the domain of biological data analytics. Clearly, if we can translate this progress to other domains, we can avoid repetition of efforts and also speedup discoveries in the other domains. This project will promote translation of approaches and tools first developed for biological genomics to materials genomics. To maximize scientific impact and use in industry and academia, the software tools to be built will be disseminated to a wide audience. The participation of women and other underrepresented groups will be promoted by leveraging collaborations with the Northeast Big Data Hub and strong, existing institutional programs to encourage diversity at the University of Connecticut. The project will allow many students to gain significant classroom and research experience using the software tools, and they, in turn, will form the core of the highly trained workforce that is essential for the advanced industries critical to our nation's economy. Some of the existing tools developed for biological data may not be directly applicable for materials data. In such cases, novel algorithmic techniques will be developed to suitably modify them. This project will engineer tools for the analysis and discovery of materials to accelerate research in Materials Science. The project will support workshops to bring together scientists from bioinformatics and materials science. The interactions among scientists from these areas are expected to result in crosscutting advances in big data analytics and hence create transformative knowledge. The Northeast Hub as well as the Materials Science Spoke will participate in the project's dissemination effort.