VIPR 2.0 / VIPR HMM
VIPR is a software tool for analyzing diagnostic microarrays. The VIPR algorithm is based on a Bayesian statistical framework and requires a training set of positive control hybridizations representing the desired diagnostic targets. The advantage of a probabilistic algorithm in this context is that the positive control data can be used to improve classification of unknown infections. VIPR version 2.0 also includes functionality for detecting recombinant viruses using a hidden Markov model.
VIPR HMM is a hidden Markov model for detection recombination with microbial detection microarrays.
Wanglab , Washington University School of Medicine
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VIPR HMM: a hidden Markov model for detecting recombination with microbial detection microarrays.
Allred AF, Renshaw H, Weaver S, Tesh RB, Wang D.
Bioinformatics. 2012 Nov 15;28(22):2922-9. doi: 10.1093/bioinformatics/bts560.
VIPR: A probabilistic algorithm for analysis of microbial detection microarrays.
Allred AF, Wu G, Wulan T, Fischer KF, Holbrook MR, Tesh RB, Wang D.
BMC Bioinformatics. 2010 Jul 20;11:384. doi: 10.1186/1471-2105-11-384.