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

By Tulio de Oliveira, K. Deforche, Sharon Cassol, Mika Salminen, D. Paraskevis, C. Seebregts, J. Snoeck, E. J. V. Rensburg, Annemarie M. J. Wensing, D. V. D. Vijver and 3 more. Bioinform., 2005

534 citations recorded by the source corpus.

Subfields: Infectious Diseases, Molecular Biology, Virology

View Paper: https://www.semanticscholar.org/paper/5cd68a6b4a448ef7d1acc8b10779c424ab0fabce

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In Molecular Biology

1. A. Pineda-Peña
2. Anne-Mieke Vandamme
3. J. Matthijnssens
4. M. Van Ranst
5. Mustafizur Rahman
6. Piet Maes

Citations in the corpus

• RotaC: A web-based tool for the complete genome classification of group A rotaviruses (2009, methodology): “Conclusion There are several useful web-based tools and database resources for the genotyping analysis of viral sequences, based on phylogenetic trees, or sequence similarities of whole/partial sequences for the genotyping of HIV-1/HIV2, HTLV-1/HTLV-2, hepatitis B virus, hepatitis C virus and poliov”
• Automated subtyping of HIV-1 genetic sequences for clinical and surveillance purposes: performance evaluation of the new REGA version 3 and seven other tools. (2013, methodology): “Finally, there are phylogenetic-based tools such as REGA (Alcantara et al., 2009; de Oliveira et al., 2005) and SCUEAL (Kosakovsky Pond et al., 2009).”