Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist ProjectIntervirology - Tập 55 Số 2 - Trang 123-127 - 2012
Maurizio Zazzi, Francesca Incardona, Michal Rosen-Zvi, Mattia Prosperi, Thomas Lengauer, André Altmann, Anders Sönnerborg, Tamar Lavee, Eugen Schülter, Rolf Kaiser
For a long time, the clinical management of antiretroviral drug resistance was based on sequence analysis of the HIV genome followed by estimating drug susceptibility from the mutational pattern that was detected. The large number of anti-HIV drugs and HIV drug resistance mutations has prompted the development of computer-aided genotype interpretation systems, typically comprising rules ha...... hiện toàn bộ
Implementation of a Multiregion Hybridization Assay to Characterize HIV-1 Strains Detected among Injecting Drug Users in Manipur, IndiaIntervirology - Tập 52 Số 4 - Trang 175-178 - 2009
Roni Sarkar, Satarupa Sengupta, Ranajoy Mullick, Ng Brajachand Singh, Kamalesh Sarkar, Sekhar Chakrabarti
We have implemented the latest technology of a multiregion hybridization assay (MHAbce, version 2) for the molecular characterization of HIV-1 among injecting drug users (IDUs) of Manipur, India. This study provides a more detailed analysis on the basis of probes designed from eight different genomic regions of HIV-1, to achieve a clear picture of HIV-1 genomic diversity in Manipur. Out of...... hiện toàn bộ