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A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0

A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c4718742c584f12937545f4d66af20f

A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0

About this item

Full title

A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0

Publisher

England: eLife Sciences Publications Ltd

Journal title

eLife, 2022-12, Vol.11

Language

English

Formats

Publication information

Publisher

England: eLife Sciences Publications Ltd

More information

Scope and Contents

Contents

We present a new approach for macromolecular structure determination from multiple particles in electron cryo-tomography (cryo-ET) data sets. Whereas existing subtomogram averaging approaches are based on 3D data models, we propose to optimise a regularised likelihood target that approximates a function of the 2D experimental images. In addition, a...

Alternative Titles

Full title

A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6c4718742c584f12937545f4d66af20f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c4718742c584f12937545f4d66af20f

Other Identifiers

ISSN

2050-084X

E-ISSN

2050-084X

DOI

10.7554/eLife.83724

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