Ontology highlight
ABSTRACT:
SUBMITTER: Penczek PA
PROVIDER: S-EPMC3255080 | biostudies-literature | 2011 Nov
REPOSITORIES: biostudies-literature
Structure (London, England : 1993) 20111101 11
We present the codimensional principal component analysis (PCA), a novel and straightforward method for resolving sample heterogeneity within a set of cryo-EM 2D projection images of macromolecular assemblies. The method employs PCA of resampled 3D structures computed using subsets of 2D data obtained with a novel hypergeometric sampling scheme. PCA provides us with a small subset of dominating "eigenvolumes" of the system, whose reprojections are compared with experimental projection data to yi ...[more]