A Stochastic Hill Climbing Approach for Simultaneous 2D Alignment and Clustering of Cryogenic Electron Microscopy Images
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- 作者：Cyril F. Reboul1 ; 2 ; 3 ; Frederic Bonnet1 ; 2 ; 3 ; Dominika Elmlund1 ; 2 ; dominika.elmlund@monash.edu" class="auth_mail" title="E-mail the corresponding author ; Hans Elmlund1 ; 2 ; hans.elmlund@monash.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：cryo-EM ; single-particle ; electron microscopy ; clustering ; alignment ; stochastic
- 刊名：Structure
- 出版年：2016
- 出版时间：7 June 2016
- 年：2016
- 卷：24
- 期：6
- 页码：988-996
- 全文大小：2192 K
文摘
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Generation of improved 2D class averages from large single-particle cryo-EM datasets
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Production of a reliable 3D starting model in a rapid and unbiased fashion
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Overcoming inherent limitations in widely used clustering approaches
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The method is many times faster than other widely used approaches