Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 57,915 bioRxiv papers from 266,490 authors.
By reaching near-atomic resolution for a wide range of specimens, single-particle cryo-EM structure determination is transforming struc- tural biology. However, the necessary calculations come at increased computational costs, introducing 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 structure determination workflow. Both image classification and high-resolution refinement have been accelerated up to 40-fold, and template-based particle selection has been accelerated almost 1000-fold on desktop hardware. Memory requirements on GPUs have been reduced to fit widely available hard- ware, and we show that the use of single precision arithmetic does not adversely affect results. This enables high-resolution cryo-EM struc- ture determination in a matter of days on a single workstation.
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