Tailoring Genomic Data to the Needs of Experimental Biologists and Educators

Anton NekrutenkoIstvan Albert宾夕法尼亚州立大学被授予一项赠款，用于开发一种资源，将各种类型的基因组数据(序列、比对、微阵列数据)与广泛的分析工具组合在一起。这一名为G2的系统将使研究人员能够遵循实现基因组测序和功能基因组学项目目标所必需的“数据-分析-实验”路径。它将有一个非常简单、直观的界面，允许教师在学校和大学课堂上演示基因组生物学的原理。基于宾夕法尼亚州立大学生物信息学小组及其合作者在开发基因组分析工具和数据库方面的长期工作，G2元服务器代表了新一代比较基因组学资源。该项目将开发一个简单、紧凑和强大的系统，用于整合任何基于基因组的信息；创建一个框架，使任何开发人员都可以非常容易地在我们的系统中添加分析工具，并探索新的类似谷歌的用户界面的效用，这些界面解释简单的输入并在搜索过程中指导用户。该系统的教育版本将使教师能够展示基因组生物学的实际作用，并展示基因组学与进化生物学等经典学科之间的紧密联系。参与该项目的本科生和研究生将获得大规模基因组分析、数据挖掘和编程方面的跨学科培训。一名少数民族本科生将在今年夏天被招募来参与这个项目。项目数据将用于宾夕法尼亚州立大学每年为K-12科学教育人员举办的生物技术和生物信息学讲习班上的一次讲座和一堂计算机课上。

Anton NekrutenkoIstvan AlbertPennsylvania State University is awarded a grant to develop a resource that integrates various types of genomic data (sequences, alignments, microarray data) with an extensive array of analysis tools. The system, G2, will enable researchers to follow the "data-analyses-experiments" path that is critically needed to realize the goals of genome sequencing and functional genomics projects. It will have a very simple, intuitive interface that would allow instructors to demonstrate principles of genomic biology in school and college classrooms. Building on longstanding work from the bioinformatics group at Penn State University and its collaborators in developing genome analysis tools and databases, the G2 metaserver represents a new generation of comparative genomics resources. The project will develop a simple, compact, and powerful system for the integration of any genome-based information; create a framework that makes it exceptionally easy for any developer to add analysis tools to our system, and explore the utility of new "Google-like" user interfaces that interpret simple input and guide the user during the search process. An educational version of the system will enable teachers to show genomic biology in action and to demonstrate the strong connection between genomics and classical disciplines such as evolutionary biology. Undergraduate and graduate students working on the project will acquire interdisciplinary training in large-scale genome analysis, data mining and programming. A minority undergraduate student will be recruited to work on this project in the summer. The project data will be utilized in a lecture and in a computer class presented at the Biotechnology and Bioinformatics Workshops for K-12 science educators conducted annually at Penn State.