Author

Melisa J. Willby

Centers for Disease Control and Prevention

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alan J. CollinsiD· 1 shared Dev MashruwalaiD· 1 shared Emily T. NorrisiD· 1 shared Jennafer A. P. HamliniD· 1 shared Lavanya RishishwariD· 1 shared Natalia A. Kozak‐Muiznieks· 1 shared Vasanta ChivukulaiD· 1 shared Will A. OverholtiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 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

Alan J. CollinsORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Epidemiology of Legionella: Genome-bAsed Typing (el_gato) - a new bioinformatic tool for identifying sequence-based types of Legionella pneumophila from whole genome sequencing data

Alan J. Collins, Dev Mashruwala, Vasanta Chivukula, Natalia A. Kozak‐Muiznieks, Lavanya Rishishwar, Emily T. Norris, Melisa J. Willby, Jennafer A. P. Hamlin, Will A. Overholt

el_gato is a new bioinformatic tool that improves sequence-based typing of Legionella pneumophila from whole genome sequencing data, achieving high accuracy comparable to traditional Sanger sequencing.

bioRxiv · Mar 23, 2026 · PreprintBioinformatics