Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
3401712 | Enfermedades Infecciosas y Microbiología Clínica | 2011 | 5 Pages |
Abstract
A high concordance was observed between different genotypic algorithms to determine viral tropism among HIV-1 B subtypes infected patients, especially between webPSSMSINSI and geno2pheno or Wetcat. Conversely, the overall concordance among non-B subtypes was lower. This heterogeneity could be justified by the low prevalence of non B subtypes in the datasets in which the genotypic tropism predictors were trained.
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Authors
José Javier RodrÃguez, Eduardo Seclén, Eva Poveda, Eduardo Varela, Benito Regueiro, Antonio Aguilera,