Bioinformatical Assistance of Selecting Anti-HIV Therapies: Where Do We Stand?

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

(2012) Alexander Thielen et al.   INTERVIROLOGY

Clinical Evaluation of the Potential Utility of Computational Modeling as an HIV Treatment Selection Tool by Physicians with Considerable HIV Experience

(2011) Brendan A. Larder et al.   AIDS PATIENT CARE AND STDS

European guidelines on the clinical management of HIV-1 tropism testing

(2011) LPR Vandekerckhove et al.   LANCET INFECTIOUS DISEASES

Dealing with sparse data in predicting outcomes of HIV combination therapies

(2010) Jasmina Bogojeska et al.   BIOINFORMATICS

Modelling response to HIV therapy without a genotype: an argument for viral load monitoring in resource-limited settings

(2010) A. D. Revell et al.   JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY

Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models

(2010) Mattia C. F. Prosperi et al.   PLoS One

Antiretrovirale Therapie der HIV-Infektion

(2009)   DEUTSCHE MEDIZINISCHE WOCHENSCHRIFT

Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno‐THEO on a Large Clinical Database

(2009) André Altmann et al.   JOURNAL OF INFECTIOUS DISEASES

Selecting anti-HIV therapies based on a variety of genomic and clinical factors

(2008) M. Rosen-Zvi et al.   BIOINFORMATICS

British HIV Association guidelines for the treatment of HIV-1-infected adults with antiretroviral therapy 2008

(2008) BG Gazzard et al.   HIV MEDICINE

European AIDS Clinical Society (EACS) guidelines for the clinical management and treatment of HIV-infected adults

(2008) N Clumeck et al.   HIV MEDICINE