z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom