Author

Ryan King

Chan Zuckerberg Initiative (United States)

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

Biology Disciplines

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Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

Andrey O. Kislyuk· 1 shared Boris DimitroviD· 1 shared Charles F. A. de BourcyiD· 1 shared Chris G. MulleriD· 1 shared Cristina M. TatoiD· 1 shared David Rissato Cruz· 1 shared Emily Zhong· 1 shared Fred Samandari· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Andrey O. Kislyuk

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2 papers

Recent·Most cited

Automated AI image recognition tools improve the efficiency of aerial wildlife counts: A multi-species case study on breeding seabirds and pinnipeds at the sub-Antarctic Bounty Islands.

Chris G. Muller, Ryan King, G. Barry Baker, Katrina Jensz, Fred Samandari

This study uses AI to automate aerial wildlife counts, achieving high accuracy and efficiency for seabird and pinniped populations in remote areas.

bioRxiv · Feb 17, 2026 · PreprintEcology

IDseq - An Open Source Cloud-based Pipeline and Analysis Service for Metagenomic Pathogen Detection and Monitoring

Katrina Kalantar, Tiago Rodrigues De Carvalho, Charles F. A. de Bourcy, Boris Dimitrov, Greg Dingle, Rebecca Egger, Julie Han, Olivia Holmes, Yun-Fang Juan, Ryan King, Andrey O. Kislyuk, Michael F. Lin, Maria Mariano, Todd Morse, Lucia Reynoso, , Joseph L. DeRisi

IDseq provides a cloud-based metagenomics pipeline for pathogen detection, enabling analysis of mNGS data with tools for taxonomic assignment and novel pathogen identification.

GigaScience · Oct 1, 2020Peer-reviewedBioinformatics