Abstract
The two main sequence models are Independent Identically Distribution (IID) and Markov Chain (MC). Sequence models are needed to represent the background stochastic processes in a manner that enables one to analytically justify the significance of observations. To provide an analogy, the determination of the sequence model is similar to determining the probability of obtaining a head (H) while tossing a coin.
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Singh, G.B. (2015). Sequence Models. In: Fundamentals of Bioinformatics and Computational Biology. Modeling and Optimization in Science and Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-11403-3_10
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DOI: https://doi.org/10.1007/978-3-319-11403-3_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11402-6
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