Generalized Hidden Markov Models for Protein Sequence Analysis

9408579 Haussler该奖项将支持基于隐马尔可夫模型泛化的蛋白质和RNA序列数据分析的统计方法，算法和软件的开发研究。 具体来说，研究人员将使用和开发隐马尔可夫模型，随机图文法和马尔可夫随机场。 这些方法将在分子和结构生物学中的反向折叠、多重比对和数据库搜索中得到应用。 该奖项由计算生物学和计算理论项目支持。

9408579 Haussler This award will support research in the development of statistical methods, algorithms and software for the analysis of protein and RNA sequence data based on generalization of the hidden Markov model. Specifically the investigators will use and develop Hidden Markov Models, Stochastic Graph Grammars, and Markov Random Fields. These methods would have applications to inverse folding, multiple alignment and database searching in molecular and structural biology. This award is supported by programs in Computational Biology and the Theory of Computing.