Author

Veljo Kisand

Estonian University of Life SciencesORCID 0000-0002-5535-1639Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Assay:metagenomics· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Age BraueriD· 1 shared Ali HakimzadehiD· 1 shared Anders LanzéniD· 1 shared Angela OliverioiD· 1 shared Arthur MonjotiD· 1 shared Dominika ChmolowskaiD· 1 shared Enrique LaraiD· 1 shared Erki AuniD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Age BrauerORCID

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2 papers

Recent·Most cited

Discovering 25 novel phyla that fill gaps in the eukaryotic tree of life

Leho Tedersoo, Vladimir S. Mikryukov, Sirje Sildever, Dominika Chmolowska, Kasia Piwosz, Mathisse Meyneng, Arthur Monjot, Javier del Campo, Enrique Lara, Ali Hakimzadeh, Stefan Geisen, Kristel Panksep, Mohammad Bahram, Angela Oliverio, Rachel M. Shepherd, , R. Henrik Nilsson

The paper identifies 25 novel phyla in the eukaryotic tree of life through global environmental DNA surveys and proposes formal names for 150 species.

bioRxiv · Aug 31, 2026 · PreprintMicrobiology

A k-mer-based method for the identification of phenotype-associated genomic biomarkers and predicting phenotypes of sequenced bacteria.

Erki Aun, Age Brauer, Veljo Kisand, Tanel Tenson, Maido Remm

PhenotypeSeeker predicts bacterial phenotypes from genomic sequences with high accuracy using k-mer-based models, achieving fast inference on assembled genomes.

PLoS Computational Biology · Oct 22, 2018Peer-reviewedBioinformatics