The utility of different bioinformatics algorithms for genotypic HIV-1 tropism testing in a large clinical cohort with multiple subtypes.

AD Bartlett; MJ MaCartney; TC Conibear; F Feyertag; CJ Smith; MA Johnson; C Hyams; A Garcia-Diaz; AL McCormick; C Booth; DL Robertson; DP Webster

doi:10.1097/qad.0000000000000288

The utility of different bioinformatics algorithms for genotypic HIV-1 tropism testing in a large clinical cohort with multiple subtypes.

AD Bartlett, MJ MaCartney, TC Conibear, F Feyertag, CJ Smith, MA Johnson, C Hyams, A Garcia-Diaz, AL McCormick, C Booth, DL Robertson, DP Webster

Bristol Medical School (THS)

Research output: Contribution to journal › Article (Academic Journal) › peer-review

5 Citations (Scopus)

Original language	English
Journal	AIDS
DOIs	https://doi.org/10.1097/qad.0000000000000288
Publication status	Published - Jul 2014

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@article{2f887f61a5a24ff1b4b3fb5ffaddb807,

title = "The utility of different bioinformatics algorithms for genotypic HIV-1 tropism testing in a large clinical cohort with multiple subtypes.",

author = "AD Bartlett and MJ MaCartney and TC Conibear and F Feyertag and CJ Smith and MA Johnson and C Hyams and A Garcia-Diaz and AL McCormick and C Booth and DL Robertson and DP Webster",

year = "2014",

month = jul,

doi = "10.1097/qad.0000000000000288",

language = "English",

journal = "AIDS",

issn = "0269-9370",

publisher = "Lippincott Williams and Wilkins",

}

TY - JOUR

T1 - The utility of different bioinformatics algorithms for genotypic HIV-1 tropism testing in a large clinical cohort with multiple subtypes.

AU - Bartlett, AD

AU - MaCartney, MJ

AU - Conibear, TC

AU - Feyertag, F

AU - Smith, CJ

AU - Johnson, MA

AU - Hyams, C

AU - Garcia-Diaz, A

AU - McCormick, AL

AU - Booth, C

AU - Robertson, DL

AU - Webster, DP

PY - 2014/7

Y1 - 2014/7

UR - http://europepmc.org/abstract/med/24785955

U2 - 10.1097/qad.0000000000000288

DO - 10.1097/qad.0000000000000288

M3 - Article (Academic Journal)

C2 - 24785955

SN - 0269-9370

JO - AIDS

JF - AIDS

ER -

The utility of different bioinformatics algorithms for genotypic HIV-1 tropism testing in a large clinical cohort with multiple subtypes.

UN SDGs

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