作者: Marina Axelson-Fisk
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摘要: Comparative gene finding is a fairly new and emerging field within computational biology. The generation of finders has considerable number advantages over its single species predecessors, including higher prediction accuracy, the ability to annotate more varying features that previously have eluded approaches. In Chap. 2 we described some most common algorithms used as main in finding. this chapter exemplify corresponding comparative finding, ranging from similarity based techniques, pair hidden Markov models generalized models, mapping. Last present first attempts extend pairwise approaches multiple sequence Each section finished off by an example software using method question.