An automated genotyping system for analysis of HIV-1 and other microbial sequences

Motivation: Genetic analysis of HIV-1 is important not only for vaccine development, but also to guide treatment strategies, track the emergence of new viral variants and ensure that diagnostic assays are contemporary and fully optimized. However, most genotyping methods are laborious and complex, and involve the use of multiple software applications. Here, we describe the development of an automated genotyping system that can be easily applied to HIV-1 and other rapidly evolving viral pathogens. Results: The new REGA subtyping tool, developed using Java programming and PERL scripts, combines phylogenetic analyses with bootscanning methods for the genetic subtyping of full-length and subgenomic

• Type: Journal
• Year: 2005
• Where: BIOINFORMATICS
• Authors: Tulio de Oliveira, Koen Deforche, Sharon Cassol, Mika Salminen, Dimitris Paraskevis, Chris Seebregts, Joe Snoeck, Estrelita J. Janse van Rensburg, Annemarie M. J. Wensing, David A. van de Vijver, Charles A. Boucher, Ricardo Camacho, Anne-Mieke Vandamme
• Keywords: BIOINFORMATICS 2005, Genetic Analysis, HIV-1, Multiple Software Applications