Alexander Thielen

Bioinformatics prediction of HIV coreceptor usage.

V3 loop sequence space analysis suggests different evolutionary patterns of CCR5- and CXCR4-tropic HIV.

Decreased HIV diversity after allogeneic stem cell transplantation of an HIV-1 infected patient: a case report.

Improved detection of CXCR4-using HIV by V3 genotyping: application of population-based and "deep" sequencing to plasma RNA and proviral DNA.

Population-based V3 genotypic tropism assay: a retrospective analysis using screening samples from the A4001029 and MOTIVATE studies.

Improved prediction of HIV‐1 coreceptor usage with sequence information from the second hypervariable loop of gp120.

Dynamic escape of pre-existing raltegravir-resistant HIV-1 from raltegravir selection pressure.

In-depth analysis of G-to-A hypermutation rate in HIV-1 env DNA induced by endogenous APOBEC3 proteins using massively parallel sequencing.

Deep sequencing to infer HIV-1 co-receptor usage: application to three clinical trials of maraviroc in treatment-experienced patients.

Mutations in gp41 are correlated with coreceptor tropism but do not improve prediction methods substantially.

Genotypic tropism testing by massively parallel sequencing: qualitative and quantitative analysis.

APOBEC3G/F as one possible driving force for co-receptor switch of the human immunodeficiency virus-1.

Added value of deep sequencing relative to population sequencing in heavily pre-treated HIV-1-infected subjects.

High concordance between the position-specific scoring matrix and geno2pheno algorithms for genotypic interpretation of HIV-1 tropism: V3 length as the major cause of disagreement.

HIV-1 mutational pathways under multidrug therapy.

Deep V3 sequencing for HIV type 1 tropism in treatment-naive patients: a reanalysis of the MERIT trial of maraviroc.

HIV-GRADE: A Publicly Available, Rules-Based Drug Resistance Interpretation Algorithm Integrating Bioinformatic Knowledge.

Geno2pheno[454]: A Web Server for the Prediction of HIV-1 Coreceptor Usage from Next-Generation Sequencing Data.