Titlebook: Comparative Gene Finding; Models, Algorithms a Marina Axelson-Fisk Book 20101st edition Springer-Verlag London 2010 Bioinformatics.Biologic

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https://doi.org/10.1007/978-3-319-45372-9 finder particularly adapted to eukaryotes, and works by simultaneously aligning and annotating two homologous sequences. The basic framework of SLAM is a generalized pair hidden Markov model, which is a seamless merging of pair hidden Markov models typically used for pairwise alignments, and genera

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1568-2684 and general extensions of the models. In exchange I have tried to supply references to more detailed accounts of the different research areas touched upon. The book, however, makes no claim on being comprehensi978-1-4471-2539-6978-1-84996-104-2Series ISSN 1568-2684 Series E-ISSN 2662-2432

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Sequence Alignment,d into two parts. In the first part we describe the basic concepts of pairwise alignments, including substitution schemes and gap models, and move on to the application of dynamic programming to global and local alignments. We finish off by giving an overview of heuristic database searches and the s

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Gene Structure Submodels, submodels, which incorporate a number of sensors used to score the different characteristics of the submodel. Such sensors are traditionally divided into two groups: content sensors and signal sensors. Signal sensors model the transition between states, and attempt to detect the boundaries between

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