Author

Y. Wong

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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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

J. Kelleher· 2 shared A. Ignatieva· 1 shared A. W. Wohns· 1 shared B. Jeffery· 1 shared C. L. Murall· 1 shared D. S. Palmer· 1 shared G. McVean· 1 shared I. Guthrie· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersEvolutionary Biology

J. Kelleher

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Author profile →

3 papers

Recent·Most cited

A Pandemic-Scale Ancestral Recombination Graph for SARS-CoV-2

S. H. Zhan, Y. Wong, A. Ignatieva, K. Eaton, I. Guthrie, B. Jeffery, D. S. Palmer, C. L. Murall, S. Otto, J. Kelleher

The paper infers an Ancestral Recombination Graph for 2.48 million SARS-CoV-2 genomes to account for recombination, providing a more accurate representation of viral genealogy than traditional trees.

bioRxiv · Jun 8, 2023 · PreprintEvolutionary Biology

Dynamic visualisation of million-tip trees: the OneZoom project

Y. Wong, J. Rosindell

The paper describes the OneZoom project, which dynamically visualizes the complete tree of life with metadata and images, enabling exploration on mobile devices.

bioRxiv · Oct 14, 2020Evolutionary Biology

Inferring the ancestry of everyone

J. Kelleher, Y. Wong, P. Albers, A. W. Wohns, G. McVean

The paper introduces an efficient algorithm for inferring whole-genome genealogies from large datasets, demonstrating its accuracy and scalability on human genetic data.

bioRxiv · Nov 1, 2018Evolutionary Biology