ITR-(ASE+NHS)-(dmc): Rational Genomic Annotation Systems: Integration, Mining and Modeling of Biological Data

波士顿大学获得了一笔赠款，用于开发用于整合、挖掘和建模生物数据的Rational基因组注释系统。这项研究包括麻省理工学院和塔夫茨大学的科学家和学生，旨在开发一种系统的方法，整合涉及预测推理和学习的多种证据来源。投资促进机构建议开发一个以概率图形模型为基础的信息整合框架，并提供支持不同数据类型的模块化界面。这项研究将促进新一代可扩展基因注释系统的开发，该系统将比现有系统提供更大的覆盖率和准确性。它还将产生新的计算算法来支持这些新的积分形式，以及建立新的概率模型积分器的系统新方法。这项研究建立在几个研究人员的合作努力基础上，强调跨学科研究和教育，培训具有系统生物学和计算科学专业知识的新一代领导者。拟议的基础设施和技术旨在为国际社会新的广泛努力提供基本工具，包括计算生物学家和实验科学家，以产生和验证数千个新测序基因的功能作用。

Boston University has been awarded a grant to develop Rational Genomic Annotation Systems for integration, mining and modeling of biological data. The research, which includes scientists and students at Massachusetts Institute of Technology and Tufts University, is aimed at developing a systematic methodology for the integration of multiple sources of evidence involving both predictive inference and learning. The PIs propose to develop an information-integration framework based on probabilistic graphical models, with a modular interface that will support different data types. This research will facilitate the development of a new generation of extensible gene annotation systems that will provide a greater coverage and accuracy than existing systems. It will also produce new computational algorithms to support these novel forms of integration as well as a systematic new methodology for building novel probabilistic model integrators. This research builds on a collaborative effort of several investigators emphasizing interdisciplinary research and education, training of a new generation of leaders with expertise in both system biology and computing sciences. The infrastructure and techniques proposed are aimed to provide the basic tools for novel wide international community efforts involving both computational biologists and experimental scientists to produce and validate the functional role of thousands of newly sequenced genes.