Ali Al-Shahib

Predicting protein function by machine learning on amino acid sequences – a critical evaluation

Rainer Breitling, Ali Al-Shahib, R. Breitling, 2007, BMC Genomics.

Feature Selection and the Class Imbalance Problem in Predicting Protein Function from Sequence

Ali Al-Shahib, Rainer Breitling, David Gilbert, 2005, Applied bioinformatics.

Data Mining for Predictive Proteomics

Graham Ball, Ali Al-Shahib, G. Ball, 2010 .

High-Resolution Analysis by Whole-Genome Sequencing of an International Lineage (Sequence Type 111) of Pseudomonas aeruginosa Associated with Metallo-Carbapenemases in the United Kingdom

A. Witney, N. Woodford, J. Turton, 2015, Journal of Clinical Microbiology.

Genomic sequence investigation Streptococcus pyogenes clusters in England (2010-2015).

A. Underwood, J. Coelho, R. Tewolde, 2019, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

Whole genome sequencing of Streptococcus pneumoniae: development, evaluation and verification of targets for serogroup and serotype prediction using an automated pipeline

D. Litt, A. Underwood, C. Sheppard, 2016, PeerJ.

Emergence of a novel lineage containing a prophage in emm/M3 group A Streptococcus associated with upsurge in invasive disease in the UK

A. Efstratiou, A. Underwood, S. Sriskandan, 2016, Microbial genomics.

Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics

Min Fang, Ali Al-Shahib, Raju Misra, 2010, BMC Bioinformatics.

An outbreak of high-level azithromycin resistant Neisseria gonorrhoeae in England

Ulf Schaefer, H. Fifer, S. Chisholm, 2015, Sexually Transmitted Infections.

Integration of Genomic and Other Epidemiologic Data to Investigate and Control a Cross-Institutional Outbreak of Streptococcus pyogenes

K. Jolley, N. McCarthy, M. Doumith, 2016, Emerging infectious diseases.