RT Journal Article SR Electronic T1 GeRelion: GPU-enhanced parallel implementation of single particle cryo-EM image processing JF bioRxiv FD Cold Spring Harbor Laboratory SP 075887 DO 10.1101/075887 A1 Huayou Su A1 Wen Wen A1 Xiaoli Du A1 Xicheng Lu A1 Maofu Liao A1 Dongsheng Li YR 2016 UL http://biorxiv.org/content/early/2016/09/19/075887.abstract AB Single particle cryo-EM emerges as a powerful and versatile method to characterize the structure and function of macromolecules, revealing the structural details of critical molecular machinery inside the cells. RELION is a widely used EM image processing software, and most of the recently published single particle cryo-EM structures were generated by using RELION. Due to the massive computational loads and the growing demands for processing much larger cryo-EM data sets, there is a pressing need to speed up image processing. Here we present GeRelion (https://github.com/gpu-pdl¬nudt/GeRelion), an efficient parallel implementation of RELION on GPU system. In the performance tests using two cryo-EM data sets, GeRelion on 4 or 8 GPU cards outperformed RELION on 256 CPU cores, demonstrating dramatically improved speed and superb scalability. By greatly accelerating single particle cryo-EM structural analysis, GeRelion will facilitate both high resolution structure determination and dissection of mixed conformations of dynamic molecular machines.