Nazir Ismail

Phenotype Prediction of DNA Sequence Data: A Machine- and Statistical Learning Approach

Mpho Mokoatle, Gciniwe S. Dlamini, Stephanie J. Müller, 2020, 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Rapid antibiotic resistance predictions from genome sequence data for S. aureus and M. tuberculosis

Phelim Bradley, Gil McVean, Zamin Iqbal, 2015, bioRxiv.

Identifying lineage effects when controlling for population structure improves power in bacterial association studies

David A. Clifton, Gil McVean, Zamin Iqbal, 2015, Nature Microbiology.

Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

Phelim Bradley, Gil McVean, Zamin Iqbal, 2015, Nature Communications.

Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study

Phelim Bradley, Zamin Iqbal, Daniel J. Wilson, 2015, The Lancet. Infectious diseases.

A Subset of Circulating Blood Mycobacteria-Specific CD4 T Cells Can Predict the Time to Mycobacterium tuberculosis Sputum Culture Conversion

Gerrit Coetzee, Catherine Riou, Clive M. Gray, 2014, PloS one.

Corrigendum: Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

Phelim Bradley, Gil McVean, Zamin Iqbal, 2016, Nature Communications.

Predicting Extensively Drug-Resistant Mycobacterium tuberculosis Phenotypes with Genetic Mutations

Faramarz Valafar, Camilla Rodrigues, Nazir Ismail, 2013, Journal of Clinical Microbiology.

DNA Sequencing Predicts 1st-Line Tuberculosis Drug Susceptibility Profiles

Phelim Bradley, Zamin Iqbal, Baoli Zhu, 2018, The New England journal of medicine.