Processing of Structurally Heterogeneous Cryo-EM Data in RELION

被引:389
|
作者
Scheres, S. H. W. [1 ]
机构
[1] MRC Lab Mol Biol, Francis Crick Ave,Cambridge Biomed Campus, Cambridge, England
基金
英国医学研究理事会;
关键词
PARTICLE ELECTRON CRYOMICROSCOPY; LIKELIHOOD-BASED CLASSIFICATION; BEAM-INDUCED MOTION; U4/U6.U5; TRI-SNRNP; 3-DIMENSIONAL RECONSTRUCTION; MAXIMUM-LIKELIHOOD; UCSF CHIMERA; MICROSCOPY; RESOLUTION; IMAGES;
D O I
10.1016/bs.mie.2016.04.012
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This chapter describes algorithmic advances in the RELION software, and how these are used in high-resolution cryo-electron microscopy (cryo-EM) structure determination. Since the presence of projections of different three-dimensional structures in the dataset probably represents the biggest challenge in cryo-EM data processing, special emphasis is placed on how to deal with structurally heterogeneous datasets. As such, this chapter aims to be of practical help to those who wish to use RELION in their cryo-EM structure determination efforts.
引用
收藏
页码:125 / 157
页数:33
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