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DeepRes local resolution

David Maluenda Niubó edited this page Nov 25, 2020 · 2 revisions

DeepRes

DeepRes is a method to estimate a new local quality measurement for 3D cryoEM maps that adopts the form of a local resolution-type of information. DeepRes is based on 3D features detection using deep learning.

Two networks were previously trained to detect resolutions ranging between 2.5 and 13 Å and between 1.5 and 6 Å for very high resolution maps.

How to use it?

DeepRes is part of the Xmipp processing package and integrated in the image processing framework Scipion. Therefore, to use DeepRes the user must install Scipion and Xmipp plugin.

Once installed, the user must download from scipion the deep learning tools (which contains all the necessary libraries and previously trained networks)

./scipion installb deepLearningToolkit

In the Scipion GUI, the protocol can be found in the Resolution branch, with the name: local deepRes (alternatively, you can use ctrl+F > deepRes to find it).

Input and output

The algorithm requires as input a 3D Cryo-EM density map and a mask enclosing the macromolecule, and as a result a resolution map is obtained. Different visualization options have been implemented into Scipion to analyze the results (for example: the local resolution map, a resolution histogram, colored slices of the resolution map and the display of the original map in Chimera colored according to the obtained resolution values).