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AutoClass3D

A deep learning based tool to automatically select the best reconstructed 3D maps within a group of maps.

Installation

clone the repository:

git clone github.itap.purdue.edu/kiharalab/AutoClass3D

create conda environment:

conda env create -f environment.yml

Arguments (All required)

-F: Class3D MRC files to be examine, separated by space
-G: The GPU ID to use for the computation, use comma to seperate multiple GPUs
-J: The Job Name

Example

python main.py -F ./Class3D/job052/class1.mrc ./Class3D/job052/class2.mrc ./Class3D/job052/class3.mrc -G 0,1,2 -J job052_select

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A deep learning based tool to automatically select the best reconstructed 3D maps within a group of maps.

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