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seq++: analyzing biological sequences with a range of Markov-related models
Title | seq++: analyzing biological sequences with a range of Markov-related models |
Publication Type | Journal Article |
Year of Publication | 2005 |
Authors | Miele, V, Bourguignon, P-Y, Robelin, D, Nuel, G, Richard, H |
Journal | Bioinformatics |
Volume | 21 |
Pagination | 2783-2784 |
Abstract | Summary: 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.Availability: Under the GNU General Public Licence at http://stat.genopole.cnrs.fr/seqppContact: miele@genopole.cnrs.fr |
URL | http://bioinformatics.oxfordjournals.org/content/21/11/2783.abstract |
DOI | 10.1093/bioinformatics/bti389 |