Author

Sayeh Gorjifard

University of WashingtonORCID 0000-0002-4281-2192Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Plant Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:Arabidopsis· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1

Frequent Co-Authors

Christine QueitschiD· 2 shared Josh T. CuperusiD· 2 shared Kerry L. BubbiD· 2 shared Stanley FieldsiD· 2 shared Adrianna Matos-Nieves· 1 shared Curran Oy· 1 shared Dominic SchirmeriD· 1 shared Eleftheria AnastasiaiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersPlant Biology

Christine QueitschORCID

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3 papers

Recent·Most cited

The yEvo Mutation Browser: Enhancing student understanding of experimental evolution and genomics through interactive data visualization

L. Anderson, Jasmine Schoch, Eleftheria Anastasia, Faheem Azeemi, Zilong Zeng, Virginia Wang, Sayeh Gorjifard, Adrianna Matos-Nieves, Jordan F. Safer, Sumaiya Iqbal, Maitreya J. Dunham

The yEvo Mutation Browser helps students and researchers visualize and interpret genome sequencing data from experimental evolution studies of yeast.

Genome Biology and Evolution · Oct 23, 2026Peer-reviewedScientific Communication & Education

Massively parallel characterization and deep learning of enhancers in plant genomes

Tobias Jores, Nicholas A. Mueth, Sayeh Gorjifard, Sebastian ST Triesch, Dominic Schirmer, Jackson Tonnies, Kerry L. Bubb, Josh T. Cuperus, Stanley Fields, Christine Queitsch

The paper characterizes plant enhancer activity across multiple species and develops a deep learning model to predict enhancer strength and identify functional motifs.

bioRxiv · Apr 29, 2026 · PreprintPlant Biology

Dosa: A method to covalently barcode proteinsfor high throughput biochemistry

Yashwanth Ashok, Kerry L. Bubb, Curran Oy, Sayeh Gorjifard, Josh T. Cuperus, Christine Queitsch, Stanley Fields

Dosa covalently bars proteins for high-throughput biochemical analysis by linking variants to RNA barcodes via a methyltransferase, enabling assessment of protein function through direct biochemical assays.

Proceedings of the National Academy of Sciences · Jan 2, 2026Peer-reviewedGenomics