Author

Pasi K. Korhonen

The University of MelbourneORCID 0000-0002-9957-4674Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Research Focus:gene regulatory network inference· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Neil David YoungiD· 4 shared Robin B. GasseriD· 3 shared Abderrahman KhilaiD· 1 shared Alfred M. HandleriD· 1 shared Alistair P. McGregoriD· 1 shared Amelia R. I. LindseyiD· 1 shared Andrew E. TreloariD· 1 shared Andrew J. PaskiD· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersGenomics

Neil David YoungORCID

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4 papers

Recent·Most cited

The redlegged earth mite draft genome provides new insights into pesticide resistance evolution and demography in its invasive Australian range

Joshua A. Thia, Pasi K. Korhonen, Neil David Young, Robin B. Gasser, Paul A. Umina, Qiong Yang, Owain Rhys Edwards, Tom Walsh, Ary A. Hoffmann

The paper presents the first reference genome of the redlegged earth mite, identifying genes associated with pesticide resistance and population structure in its invasive range.

Journal of Evolutionary Biology · Dec 27, 2022Peer-reviewedGenomics

Gene Content Evolution in the Arthropods

Gregg W.C. Thomas, Elias Dohmen, Daniel Hughes, Shwetha Canchi Murali, Monica F. Poelchau, Karl M. Glastad, Clare A. Anstead, Nadia A. Ayoub, Philip Batterham, Michelle Bellair, Greta J. Binford, Hsu Chao, Yolanda H. Chen, Christopher P. Childers, Huyen Dinh, , Stephen Richards

The paper analyzes gene and protein domain content changes across 76 arthropod genomes to understand evolutionary patterns and their association with phenotypic adaptations.

Genome biology · Jan 22, 2020Peer-reviewedGenomics

Comparative genome analysis indicates rapid evolution of pathogenicity genes in Colletotrichum tanaceti

Ruvini V. Lelwala, Pasi K. Korhonen, Neil David Young, Jason B. Scott, Peter Kevin Ades, Robin B. Gasser, Paul W. J. Taylor

This study analyzes the genome of Colletotrichum tanaceti to identify pathogenicity genes and reveals rapid evolution in CAZyme families and a 'two-speed' genome structure.

PLoS ONE · May 31, 2019Peer-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