Author

Robin L. Abu-Shumays

University of California, Santa CruzORCID 0000-0003-1485-080XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 3 Organism:yeast· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Miten JainiD· 3 shared David M. GarciaiD· 2 shared James W. ReinschiD· 2 shared Kristin S. KoutmouiD· 2 shared Margaret L. BarryiD· 2 shared Neda Ghohabi EsfahaniiD· 2 shared Pooria Daneshvar KakhakiiD· 2 shared Stuart AkesoniD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Miten JainORCID

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3 papers

Recent·Most cited

tRNAZAP: Deep learning toolkit for nanopore tRNA signal analysis

Pooria Daneshvar Kakhaki, Stuart Akeson, Neda Ghohabi Esfahani, Robin L. Abu-Shumays, Miten Jain

tRNAZAP is a deep learning toolkit for analyzing nanopore tRNA sequencing data, achieving high accuracy in segmentation and classification tasks.

bioRxiv · Oct 12, 2026 · PreprintBioinformatics

Pseudouridylation landscape across 42 nuclear-encoded S. cerevisiae tRNAs

Margaret L. Barry, Robin L. Abu-Shumays, Lauren E. Barnes, Ethan A. Shaw (23811802), James W. Reinsch, Zachary Basham, Miten Jain, Kristin S. Koutmou, David M. Garcia

The paper identifies 21 novel pseudouridine sites in S. cerevisiae tRNAs using DRS and BACS, and maps their modifying enzymes.

bioRxiv · Sep 22, 2026 · PreprintMolecular Biology

tRNA isodecoder analysis using Nanopore ionic current signals and deep learning

Stuart Akeson, Pooria Daneshvar Kakhaki, Neda Ghohabi Esfahani, James W. Reinsch, Margaret L. Barry, Maddy P. Zamecnik, Talia Tzadikario, Robin L. Abu-Shumays, David M. Garcia, Kristin S. Koutmou, Miten Jain

The paper introduces tRNAZAP, a deep learning method using nanopore ionic current signals to classify tRNA isodecoders, achieving better alignment results than BWA-MEM in E. coli and S. cerevisiae.

bioRxiv · Jun 9, 2026 · PreprintGenomics