2016
DOI: 10.7554/elife.18722
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Accelerated cryo-EM structure determination with parallelisation using GPUs in RELION-2

Abstract: By reaching near-atomic resolution for a wide range of specimens, single-particle cryo-EM structure determination is transforming structural biology. However, the necessary calculations come at large computational costs, which has introduced a bottleneck that is currently limiting throughput and the development of new methods. Here, we present an implementation of the RELION image processing software that uses graphics processors (GPUs) to address the most computationally intensive steps of its cryo-EM structu… Show more

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Cited by 976 publications
(559 citation statements)
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“…CTF correction, with gCTF 60 , was performed on non-dose-weighted micrographs, with all further processing on dose-weighted micrographs using RELION 2.0 61 . From 2,938 micrographs for GluA2-GSG1L bound to ZK, 541,261 particles were picked.…”
Section: Methodsmentioning
confidence: 99%
“…CTF correction, with gCTF 60 , was performed on non-dose-weighted micrographs, with all further processing on dose-weighted micrographs using RELION 2.0 61 . From 2,938 micrographs for GluA2-GSG1L bound to ZK, 541,261 particles were picked.…”
Section: Methodsmentioning
confidence: 99%
“…CTF correction, using CTFFIND4 36 for the hTRPV6-nanodiscs data set and gCTF 37 for all other data sets, was performed on non-dose-weighted micrographs while subsequent data processing was done on dose-weighted micrographs. All other data processing, unless stated otherwise, was performed using Relion 2.0 38 . For each data set, 1000–2000 particles were manually selected to generate 2D classes for use in auto-picking.…”
Section: Methodsmentioning
confidence: 99%
“…Particles were picked from aligned dose-filtered averages using the swarm semi-automated procedure as implemented in e2boxer.py 49 , followed by extraction from unfiltered averages using Relion-2 (ref. 50 ) and local CTF parameter refinement using Gctf v1.06 (ref. 51 ).…”
Section: Methodsmentioning
confidence: 99%