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New tools for automated high-resolution cryo-EM structure determination in RELION-3
MRC, Lab Mol Biol, Cambridge, England..ORCID iD: 0000-0001-8407-0759
MRC, Lab Mol Biol, Cambridge, England..ORCID iD: 0000-0003-2697-2767
Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Stockholm, Sweden..
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2018 (English)In: eLIFE, E-ISSN 2050-084X, Vol. 7, article id e42166Article in journal (Refereed) Published
Abstract [en]

Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, de novo model generation and 3D-classification. Per-particle refinement of CTF parameters and correction of estimated beam tilt provides higher resolution reconstructions when particles are at different heights in the ice, and/or coma-free alignment has not been optimal. Ewald sphere curvature correction improves resolution for large particles. We illustrate these developments with publicly available data sets: together with a Bayesian approach to beam-induced motion correction it leads to resolution improvements of 0.2-0.7 angstrom compared to previous RELION versions.

Place, publisher, year, edition, pages
ELIFE SCIENCES PUBLICATIONS LTD , 2018. Vol. 7, article id e42166
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Biochemistry and Molecular Biology
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URN: urn:nbn:se:kth:diva-239781DOI: 10.7554/eLife.42166ISI: 000450857100001PubMedID: 30412051Scopus ID: 2-s2.0-85056950318OAI: oai:DiVA.org:kth-239781DiVA, id: diva2:1276669
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QC 20190108

Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-01-11Bibliographically approved

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Lindahl, Erik

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Zivanov, JasenkoNakane, TakanoriHagen, Wim J. H.Lindahl, ErikScheres, Sjors H. W.
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