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Statistical Multiple Alignment

  • Reference work entry
  • First Online:
Encyclopedia of Algorithms

  • 29 Accesses

Years and Authors of Summarized Original Work

  • 2003; Hein, Jensen, Pedersen

Problem Definition

The three main types of mutations modifying biological sequences are insertions, deletions, and substitutions. The simplest model involving these three types of mutations is the so-called Thorne-Kishino-Felsenstein model [16]. In this model, the characters of a sequence evolve independently. Each character in the sequence can be substituted with another character according to a prescribed reversible time-continuous Markov model on the possible characters. Insertion-deletions are modeled as a birth-death process. Insertions can happen at the beginning of the sequence, at the end of the sequence, and between any two characters. It is possible to insert a character into the empty sequence. The time span between two insertions is exponentially distributed with parameter λ, and this parameter does not depend on the context of the position. The newborn character is drawn from the equilibrium...

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Recommended Reading

  1. Arunapuram P, Edvardsson I, Golden M, Anderson JW, Novák Á, Sükösd Z, Hein J (2013) StatAlign 2.0: combining statistical alignment with RNA secondary structure prediction. Bioinformatics 29(5):654–655

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Author information

Authors and Affiliations

  1. Department of Plant Taxonomy and Ecology, Eötvös Loránd University, Budapest, Hungary

    István Miklós

Authors
  1. István Miklós
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA

    Ming-Yang Kao

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Miklós, I. (2016). Statistical Multiple Alignment. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_400

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