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NanoHIV: A Bioinformatics Pipeline for Producing Accurate, Near Full-Length HIV Proviral Genomes Sequenced Using the Oxford Nanopore Technology.
Wright, Imogen A; Delaney, Kayla E; Katusiime, Mary Grace K; Botha, Johannes C; Engelbrecht, Susan; Kearney, Mary F; van Zyl, Gert U.
Afiliação
  • Wright IA; Division of Medical Virology, Stellenbosch University and NHLS Tygerberg, Cape Town 7505, South Africa.
  • Delaney KE; Division of Medical Virology, Stellenbosch University and NHLS Tygerberg, Cape Town 7505, South Africa.
  • Katusiime MGK; HIV Dynamic and Replication Program, Center for Cancer Research, National Cancer Institute at Frederick, 1050 Boyles Street, Building 535, Room 109, Frederick, MD 21702-1201, USA.
  • Botha JC; Division of Medical Virology, Stellenbosch University and NHLS Tygerberg, Cape Town 7505, South Africa.
  • Engelbrecht S; Division of Medical Virology, Stellenbosch University and NHLS Tygerberg, Cape Town 7505, South Africa.
  • Kearney MF; HIV Dynamic and Replication Program, Center for Cancer Research, National Cancer Institute at Frederick, 1050 Boyles Street, Building 535, Room 109, Frederick, MD 21702-1201, USA.
  • van Zyl GU; Division of Medical Virology, Stellenbosch University and NHLS Tygerberg, Cape Town 7505, South Africa.
Cells ; 10(10)2021 09 28.
Article em En | MEDLINE | ID: mdl-34685559
ABSTRACT
HIV-1 proviral single-genome sequencing by limiting-dilution polymerase chain reaction (PCR) amplification is important for differentiating the sequence-intact from defective proviruses that persist during antiretroviral therapy (ART). Intact proviruses may rebound if ART is interrupted and are the barrier to an HIV cure. Oxford Nanopore Technologies (ONT) sequencing offers a promising, cost-effective approach to the sequencing of long amplicons such as near full-length HIV-1 proviruses, but the high diversity of HIV-1 and the ONT sequencing error render analysis of the generated data difficult. NanoHIV is a new tool that uses an iterative consensus generation approach to construct accurate, near full-length HIV-1 proviral single-genome sequences from ONT data. To validate the approach, single-genome sequences generated using NanoHIV consensus building were compared to Illumina® consensus building of the same nine single-genome near full-length amplicons and an average agreement of 99.4% was found between the two sequencing approaches.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / Provírus / Biologia Computacional Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / Provírus / Biologia Computacional Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article