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Tristan Bepler

Showing results (1-10 of 19) with videos related to

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Cell Systems|June 17, 2021
Learning the protein language: Evolution, structure, and functionTristan Bepler, Bonnie Berger
... International Conference on Learning Representations|March 2, 2026
Learning protein sequence embeddings using information from structureTristan Bepler, Bonnie Berger
Nature Communications|October 16, 2020
Topaz-Denoise: general deep denoising models for cryoEM and cryoETTristan Bepler, Kotaro Kelley, Alex J Noble, et al.
Nature Methods|February 5, 2021
CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networksEllen D Zhong, Tristan Bepler, Bonnie Berger, et al.
Iucrj|January 4, 2023
Learning to automate cryo-electron microscopy data collection with PtolemyPaul T Kim, Alex J Noble, Anchi Cheng, et al.
Current Opinion in Biotechnology|April 8, 2022
Synthetic molecular evolution of antimicrobial peptidesCharles H Chen, Tristan Bepler, Karen Pepper, et al.
Science (New York, N.Y.)|July 2, 2021
An engineered protein-phosphorylation toggle network with implications for endogenous network discoveryDeepak Mishra, Tristan Bepler, Brian Teague, et al.
Research in Computational Molecular Biology : ... Annual International Conference, RECOMB ... : Proceedings. RECOMB (Conference : 2005- )|May 1, 2018
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographsTristan Bepler, Andrew Morin, Alex J Noble, et al.
Nature Methods|October 9, 2019
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographsTristan Bepler, Andrew Morin, Micah Rapp, et al.
Ultramicroscopy|April 20, 2024
Ghostbuster: A phase retrieval diffraction tomography algorithm for cryo-EMJoel Yeo, Benedikt J Daurer, Dari Kimanius, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Cell Systems|June 17, 2021
Learning the protein language: Evolution, structure, and functionTristan Bepler, Bonnie Berger
... International Conference on Learning Representations|March 2, 2026
Learning protein sequence embeddings using information from structureTristan Bepler, Bonnie Berger
Nature Communications|October 16, 2020
Topaz-Denoise: general deep denoising models for cryoEM and cryoETTristan Bepler, Kotaro Kelley, Alex J Noble, et al.
Nature Methods|February 5, 2021
CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networksEllen D Zhong, Tristan Bepler, Bonnie Berger, et al.
Iucrj|January 4, 2023
Learning to automate cryo-electron microscopy data collection with PtolemyPaul T Kim, Alex J Noble, Anchi Cheng, et al.
Current Opinion in Biotechnology|April 8, 2022
Synthetic molecular evolution of antimicrobial peptidesCharles H Chen, Tristan Bepler, Karen Pepper, et al.
Science (New York, N.Y.)|July 2, 2021
An engineered protein-phosphorylation toggle network with implications for endogenous network discoveryDeepak Mishra, Tristan Bepler, Brian Teague, et al.
Research in Computational Molecular Biology : ... Annual International Conference, RECOMB ... : Proceedings. RECOMB (Conference : 2005- )|May 1, 2018
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographsTristan Bepler, Andrew Morin, Alex J Noble, et al.
Nature Methods|October 9, 2019
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographsTristan Bepler, Andrew Morin, Micah Rapp, et al.
Ultramicroscopy|April 20, 2024
Ghostbuster: A phase retrieval diffraction tomography algorithm for cryo-EMJoel Yeo, Benedikt J Daurer, Dari Kimanius, et al.
Pageof 2