Open AccessPrimer ID Validates Template Sampling Depth and Greatly Reduces the Error Rate of Next-Generation Sequencing of HIV-1 Genomic RNA Populations
Author(s) -
Shuntai Zhou,
Corbin D. Jones,
Piotr A. Mieczkowski,
Ronald Swanstrom
Publication year - 2015
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/2crb-j687
Subject(s) - primer (cosmetics) , human immunodeficiency virus (hiv) , computational biology , sampling (signal processing) , rna , dna sequencing , biology , genetics , computer science , artificial intelligence , gene , virology , computer vision , chemistry , organic chemistry , filter (signal processing)
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