Author

Kieran J. Madon

National Institute for Health and Care ResearchORCID 0000-0002-0146-2560Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:graph neural network· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ajit LalvaniiD· 1 shared Joel HellewelliD· 1 shared John A. LeesiD· 1 shared Leonid ChindelevitchiD· 1 shared Nicholas J. CroucheriD· 1 shared Nimalan ArinaminpathyiD· 1 shared Romain DerelleiD· 1 shared Simon R. HarrisiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ajit LalvaniORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Reference-free variant calling with local graph construction with ska lo (SKA)

Romain Derelle, Kieran J. Madon, Joel Hellewell, Víctor Rodríguez-Bouza, Nimalan Arinaminpathy, Ajit Lalvani, Nicholas J. Croucher, Simon R. Harris, John A. Lees, Leonid Chindelevitch

This paper introduces ska lo, a reference-free variant calling tool that uses a coloured De Bruijn graph to detect SNPs, insertions, deletions, and recombination events in pathogen genomes.

Molecular Biology and Evolution · Apr 1, 2025Peer-reviewedBioinformatics