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      Processing of Structurally Heterogeneous Cryo-EM Data in RELION.

      Methods in enzymology
      Elsevier BV
      Classification, Cryo-electron microscopy, Image processing, Maximum likelihood, Protein dynamics, RELION, Single-particle analysis, Structural heterogeneity

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          Abstract

          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.

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