Measurement error and variant-calling in deep Illumina sequencing of HIV
Author(s) -
Mark Howison,
Mia Coetzer,
Rami Kantor
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty919
Subject(s) - primer (cosmetics) , pipeline (software) , computational biology , computer science , amplicon , genome , deep sequencing , human immunodeficiency virus (hiv) , dna sequencing , biology , data mining , genetics , gene , polymerase chain reaction , virology , chemistry , organic chemistry , programming language
Next-generation deep sequencing of viral genomes, particularly on the Illumina platform, is increasingly applied in HIV research. Yet, there is no standard protocol or method used by the research community to account for measurement errors that arise during sample preparation and sequencing. Correctly calling high and low-frequency variants while controlling for erroneous variants is an important precursor to downstream interpretation, such as studying the emergence of HIV drug-resistance mutations, which in turn has clinical applications and can improve patient care.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom