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Gene Prediction Based On a Generalized Hidden Markov Model and Some Statistical Models of Related States: a Review

机译:基于广义隐马尔可夫模型的基因预测和相关国家的一些统计模型:综述

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In recent years, the methods with a generalized hidden Markov model have gained significant application and development in gene prediction, which is predicting the location and structure of genes in genomic sequences, and produced an army of remarkable programs, such as Genie, GENSCAN, AUGUSTUS, etc. In spite of some limitations, the favorable performance and accuracy these programs still show have withstood the test of practice and time. Here, we provide a comprehensive review of the method of gene prediction with a novel hidden Markov model and some statistical models of related states included, just to share this knowledge with individuals interested in it.
机译:近年来,具有广义隐性马尔可夫模型的方法在基因预测中获得了显着的应用和发展,这是预测基因组序列中基因的位置和结构,并产生了一支非凡的计划,例如Genie,Genscan,Augustus尽管有一些局限性,但这些程序仍然表现出的有利性能和准确性已经受努力的练习和时间的测试。在这里,我们对基因预测方法进行了全面的审查,与新的隐马尔可夫模型以及一些相关州的统计模型包括在内,只是为了与对其感兴趣的人分享这些知识。

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