Author

Nathan S. Watson‐Haigh

The University of AdelaideORCID 0000-0002-7935-6151Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Gabriel Keeble‐GagnèreiD· 2 shared Ute BaumanniD· 2 shared Abraham KoroliD· 1 shared Adam M. DimechiD· 1 shared Ajay Sandhu· 1 shared Andrew E. TreloariD· 1 shared Andrew G. Sharpe· 1 shared Andrew J. PaskiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Gabriel Keeble‐GagnèreORCID

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3 papers

Recent·Most cited

LNISKS: Reference-free mutation identification for large and complex crop genomes

Radosław Suchecki, Ajay Sandhu, Stéphane Deschamps, Víctor Llaca, Petra Wolters, Nathan S. Watson‐Haigh, Margaret A. Pallotta, Ryan Whitford, Ute Baumann

LNISKS identifies mutations in large crop genomes without a reference genome, achieving high confidence in wheat data.

bioRxiv · Mar 19, 2019 · PreprintBioinformatics

Optical and physical mapping with local finishing enables megabase-scale resolution of agronomically important regions in the wheat genome

Gabriel Keeble‐Gagnère, Philippe Rigault, Josquin F. G. Tibbits, Raj Pasam, Matthew Hayden, Kerrie Forrest, Zeev Frenkel, Abraham Korol, Bevan Emma Huang, Colin R. Cavanagh, Jennifer M. Taylor, Michaël Abrouk, Andrew G. Sharpe, David J. F. Konkin, Pierre Sourdille, , R. Appels

Genome biology · Aug 14, 2018Peer-reviewedGenomics

Best Practice Data Life Cycle Approaches for the Life Sciences

Philippa C. Griffin, Jyoti R. Khadake, Kate S. Lemay, Suzanna Lewis, Sandra E. Orchard, Andrew J. Pask, Bernard J. Pope, Ute Roessner, Keith Russell, Torsten Seemann, Andrew E. Treloar, Sonika Tyagi, Jeffrey H. Christiansen, Saravanan Dayalan, Simon L. Gladman, , Maria Victoria Schneider

The paper provides best practice data life cycle approaches for life sciences researchers focusing on omics datasets and computational data analysis.

F1000Research · Aug 31, 2017Peer-reviewedBioinformatics