Author

Kassaye Belay

Virginia TechORCID 0000-0001-6402-7200Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1 Assay:long-read sequencing· 1 Assay:metagenomics· 1

Frequent Co-Authors

Boris Alexander VinatzeriD· 2 shared Reza MazloomiD· 2 shared Bo ZhangiD· 1 shared Devin BilyiD· 1 shared Farhat A. AviniD· 1 shared Fulya Baysal-GureliD· 1 shared Hayden JohnsoniD· 1 shared Jessie UehlingiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Boris Alexander VinatzerORCID

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3 papers

Recent·Most cited

Whole genome similarity provides a rapid, robust framework for classification of fungal taxa from the genus rank to intraspecies variants

Hayden Johnson, Boris Alexander Vinatzer, Reza Mazloom, Kassaye Belay, Niklaus J. Grünwald, Jessie Uehling

This study shows that k-mer-based whole-genome similarity can rapidly and accurately classify fungal taxa from genus to intraspecies variants, outperforming traditional methods in speed and efficiency.

bioRxiv · Sep 9, 2026 · PreprintBioinformatics

Genomic insights into Ceratobasidium sp. associated with vascular streak dieback of woody ornamentals in the United States using a metagenomic sequencing approach

Kassaye Belay, Sahar Abdelrazek, Sehgeet Kaur, Reza Mazloom, Devin Bily, Tashi Gyatso, Farhat A. Avin, John C. Bonkowski, Prabha Liyanapathiranage, Lina Rodriguez Salamanca, Lenwood S. Heath, Fulya Baysal-Gurel, Boris Alexander Vinatzer

The paper uses metagenomic sequencing to analyze 106 symptomatic samples from woody ornamentals in the U.S., identifying 17 high-quality draft genomes of Ceratobasidium sp. associated with vascular streak dieback, revealing genetic differences from related pathogens.

Microbiology Spectrum · Jan 15, 2026Peer-reviewedGenomics

Long-read sequencing reveals novel structural variation markers for key agronomic and quality traits of soybean

Zhibo Wang, Kassaye Belay, Joe Paterson, Patrick Bewick, William M. Singer, Qijian Song, Bo Zhang, Song Li

The paper uses long-read sequencing to identify structural variations in soybean genomes linked to agronomic and quality traits.

bioRxiv · Jan 9, 2024 · PreprintGenomics