Who is Who in Phylogenetic Networks

Publications related to 'Program Sliding MinPD' : Sliding MinPD reconstructs evolutionary networks of serially-sampled sequences by combining minimum pairwise distance measures with automated recombination detection based on a sliding window approach (http://biorg.cis.fiu.edu/SlidingMinPD/). The resulting network can be build with the online network drawer at http://72.17.173.2:800/minpd/   Order by:   Type | Year

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Associated keywords

from-sequences phylogenetic-network phylogeny Program-Sliding-MinPD recombination recombination-detection serial-evolutionary-networks software

Article (Journal)

1 Patricia Buendia and Giri Narasimhan. Sliding MinPD: Building evolutionary networks of serial samples via an automated recombination detection approach. In BIO, Vol. 23(22):2993-3000, 2007. Keywords: from sequences, phylogenetic network, phylogeny, Program Sliding MinPD, recombination, recombination detection, serial evolutionary networks, software. Note: http://dx.doi.org/10.1093/bioinformatics/btm413.         Toggle abstract "Motivation: Traditional phylogenetic methods assume tree-like evolutionary models and are likely to perform poorly when provided with sequence data from fast-evolving, recombining viruses. Furthermore, these methods assume that all the sequence data are from contemporaneous taxa, which is not valid for serially-sampled data. A more general approach is proposed here, referred to as the Sliding MinPD method, that reconstructs evolutionary networks for serially-sampled sequences in the presence of recombination. Results: Sliding MinPD combines distance-based phylogenetic methods with automated recombination detection based on the best-known sliding window approaches to reconstruct serial evolutionary networks. Its performance was evaluated through comprehensive simulation studies and was also applied to a set of serially-sampled HIV sequences from a single patient. The resulting network organizations reveal unique patterns of viral evolution and may help explain the emergence of disease-associated mutants and drug-resistant strains with implications for patient prognosis and treatment strategies. © The Author 2007. Published by Oxford University Press. All rights reserved."