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Peerj|February 16, 2026
Better data for better predictions: data curation improves deep learning for sgRNA/Cas9 predictionTyler S Browne, David R Edgell, Gregory B Gloor
Nucleic Acids Research|January 15, 2026
Machine learning reveals sequence and methylation determinants of SaCas9-PAM interactions in bacteriaDalton T Ham, Tyler S Browne, Claire Q Zhang, et al.
ACS Synthetic Biology|April 14, 2026
PHYCUT: Scalable Multiplex CRISPR/Cas9 Editing for Genome Engineering in the Diatom <i>Phaeodactylum tricornutum</i>Emily E Stuckless, Lian S Gai, Samuel S Slattery, et al.
Nature Communications|September 7, 2023
A generalizable Cas9/sgRNA prediction model using machine transfer learning with small high-quality datasetsDalton T Ham, Tyler S Browne, Pooja N Banglorewala, et al.
ACS Synthetic Biology|December 4, 2023
<i>De Novo</i> Synthesis of a Conjugative System from Human Gut Metagenomic Data for Targeted Delivery of Cas9 AntimicrobialsThomas A Hamilton, Benjamin R Joris, Arina Shrestha, et al.
Nucleic Acids Research|January 11, 2023
Metabolically-targeted dCas9 expression in bacteriaGregory M Pellegrino, Tyler S Browne, Keerthana Sharath, et al.
Peerj|July 11, 2022
Telomere-to-telomere genome assembly of <i>Phaeodactylum tricornutum</i>Daniel J Giguere, Alexander T Bahcheli, Samuel S Slattery, et al.
Nucleic Acids Research|January 12, 2010
A unified genetic, computational and experimental framework identifies functionally relevant residues of the homing endonuclease I-BmoIBenjamin P Kleinstiver, Andrew D Fernandes, Gregory B Gloor, et al.
Algorithms for Molecular Biology : AMB|November 10, 2010
Estimating the evidence of selection and the reliability of inference in unigenic evolutionAndrew D Fernandes, Benjamin P Kleinstiver, David R Edgell, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 10, 2014
Control of catalytic efficiency by a coevolving network of catalytic and noncatalytic residuesThomas A McMurrough, Russell J Dickson, Stephanie M F Thibert, et al.
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