Evaluation of different analysis pipelines for the detection of HIV-1 minority resistant variants

Marine Perrier,Nathalie Désiré,Alexandre Storto,Eve Todesco,Christophe Rodriguez,Mélanie Bertine,Quentin Le Hingrat,Benoit Visseaux,Vincent Calvez,Diane Descamps,Anne-Geneviève Marcelin,Charlotte Charpentier

Evaluation of different analysis pipelines for the detection of HIV-1 minority resistant variants

2018

Marine Perrier
Nathalie Désiré
Alexandre Storto
Eve Todesco
Christophe Rodriguez
Mélanie Bertine
Quentin Le Hingrat
Benoit Visseaux
Vincent Calvez
Diane Descamps
Anne-Geneviève Marcelin
Charlotte Charpentier

Objective Reliable detection of HIV minority resistant variants (MRVs) requires bioinformatics analysis with specific algorithms to obtain good quality alignments. The aim of this study was to analyze ultra-deep sequencing (UDS) data using different analysis pipelines.

Keywords:

Biology
Bioinformatics
Integrase
Reverse transcriptase
Protease
bioinformatics analysis
Sequence alignment
Computational biology
Amplicon
human immunodeficiency virus

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