Supported Applications
Topaz
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Description
a pipeline for particle detection in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Topaz includes methods for micrograph denoising using deep denoising models.
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Usage
To list all executables provided by Topaz, run:$ sbgrid-list topaz
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Installation
Use the following command to install this title with the CLI client:$ sbgrid-cli install topaz
Available operating systems: Linux 64 -
Primary Citation*
T. Bepler, A. Morin, M. Rapp, J. Brasch, L. Shapiro, and A. J. N. &. B. Berger. 2019. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. Nature Methods. 16: 1153-1160.
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*Full citation information available through
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Webinars
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Keywords
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Default Versions
Linux 64:  0.2.5a_cu11.3_py36 (5.9 GB)
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Other Versions
Linux 64:
0.2.4 (2.5 GB) , 0.2.5 (3.8 GB) , 0.2.5-2 (3.8 GB) , 0.2.5a (5.7 GB) , 0.2.5_cu11 (5.6 GB) , 0.2.5_cu11.2 (5.7 GB)
Developers
Tristan Bepler, Alex J. Noble