Search results (34)
« Back to PublicationsEvaluation of an Oxford Nanopore sequencing workflow for mycobacteria from primary MGIT culture
Preprint
Baker CS. et al, (2026)
Characterizing the performance of an antibiotic resistance prediction tool, gnomonicus, using a diverse test set of 2,663 Mycobacterium tuberculosis samples
Journal article
Westhead J. et al, (2025), Microbial Genomics, 11
Testing Causality in Scientific Modelling Software
Journal article
Clark AG. et al, (2024), ACM Transactions on Software Engineering and Methodology, 33, 1 - 42
Correction to: ‘Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations’ (2022) by Dykes et al.
Journal article
Dykes J. et al, (2022), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations
Journal article
Dykes J. et al, (2022), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380
FAIR data pipeline: provenance-driven data management for traceable scientific workflows
Journal article
Mitchell SN. et al, (2022), Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations
Preprint
Dykes J. et al, (2022)
Correlative Super-Resolution Optical and Atomic Force Microscopy Reveals Relationships Between Bacterial Cell Wall Architecture and Synthesis in Bacillus subtilis
Journal article
Tank RKG. et al, (2021), ACS Nano, 15, 16011 - 16018
FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows
Preprint
Mitchell SN. et al, (2021)
PGFinder, a novel analysis pipeline for the consistent, reproducible, and high-resolution structural analysis of bacterial peptidoglycans
Journal article
Patel AV. et al, (2021), eLife, 10
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
Preprint
Lu H. et al, (2021)
Determination of Chemical Irritation Potential Using a Defined Gene Signature Set on Tissue-Engineered Human Skin Equivalents
Journal article
Harding AL. et al, (2021), JID Innovations, 1, 100011 - 100011
