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Oxford University Press (OUP), Bioinformatics, 11(21), p. 2783-2784

DOI: 10.1093/bioinformatics/bti389

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seq++: analyzing biological sequences with a range of Markov-related models

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

The seq++ package offers a reference set of programs and an extensible library to biologists and developers working on sequence statistics. Its generality arises from the ability to handle sequences described with any alphabet (nucleotides, amino acids, codons and others). seq++ enables sequence modelling with various types of Markov models, including variable length Markov models and the newly developed parsimonious Markov models, all of them potentially phased. Simulation modules are supplied for Monte Carlo methods. Hence, this toolbox allows the study of any biological process which can be described by a series of states taken from a finite set.