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--- downloads:cryolo_1 [2019/05/17 08:35]
twagner [crYOLO]
+++ downloads:cryolo_1 [2019/07/09 19:38]
twagner [Installation]
@@ Line 12: / Line 12: @@
 You can find more technical details in our paper:
+Nature Communications Biology:
+[[https://doi.org/10.1038/s42003-019-0437-z|SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM]]
+Preprint:
 [[https://www.biorxiv.org/content/10.1101/356584v2|SPHIRE-crYOLO: A fast and accurate fully automated particle picker for cryo-EM]]
@@ Line 52: / Line 56: @@
 === For cryo images ===
-Number of datasets: 38 real, 10 simulated, 10 particle free datasets on various grids with contaminations
+Number of datasets: 38 real, 10 simulated, 10 particle free datasets on various grids with contamination
 Uploaded: 17. May 2019
@@ Line 125: / Line 129: @@
 After that, create a new virtual environment:
 <code>
-conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2
+conda create -n cryolo -c anaconda python=3.6 pyqt=5 cudnn=7.1.2 cython
 </code>
@@ Line 135: / Line 139: @@
 Install crYOLO:
 <code>
-conda install numpy==1.14.5
+conda install numpy==1.15.4
 pip install cryolo-X.Y.Z.tar.gz
 pip install cryoloBM-X.Y.Z.tar.gz