Author

Nimrod Ashkenazy

Tel Hai Academic CollegeORCID 0009-0001-1291-8842Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

Sariel HübneriD· 2 shared Abraham B. KoroliD· 1 shared Avi Bar‐MassadaiD· 1 shared Dana FuerstiD· 1 shared David Schwartz· 1 shared Evgenii V. PotapenkoiD· 1 shared Guy Atsmon· 1 shared Martin Feder· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersEvolutionary Biology

Sariel HübnerORCID

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintSep 2, 2024

Not so selfish: transposable elements fuel adaptation to climate change

Evgenii V. Potapenko, David Schwartz, Tali Mandel…·Sariel Hübner

The paper identifies adaptive haplotype blocks in wild barley linked to drought and heat response genes, enriched for transposable elements, and predicts maladaptive risk due to climate change.

3 citations

plant (other)bulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 1, 2022

GWANN: Implementing deep learning in genome wide association studies

Nimrod Ashkenazy, Martin Feder, Ofer M. Shir, Sariel Hübner

GWANN uses deep learning to improve GWAS by detecting genetic associations with higher sensitivity and speed than traditional methods.

5 citations

GWAS summary statisticsdeep learning

𝕏 PostBluesky