Journal
JOURNAL OF STRUCTURAL BIOLOGY
Volume 171, Issue 2, Pages 197-206Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2010.03.011
Keywords
Single-particle analysis; 2D analysis; Multireference analysis; Electron microscopy
Funding
- European Union [FP6-502828, UE-512092]
- 3DEM European network [LSHG-CT-2004-502828]
- ANR [PCV06-142771]
- Spanish Ministerio de Educacion [CSD2006-0023, BIO2007-67150-001, BIO2007-67150-C03]
- Spanish Ministerio de Ciencia e Innovacion [ACI2009-1022]
- Spanish Fondo de Investigacion Sanitaria [04/0683]
- Comunidad de Madrid [S-GEN-0166-2006]
- European Social Fund
- Ministerio de Ciencia e Innovacion
- NSFC [60773165, 10990013]
- National Heart, Lung, And Blood Institute [R01HL070472]
- [MCI-TIN2008-01117]
- [JA-P06-TIC01426]
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Two-dimensional analysis of projections of single-particles acquired by an electron microscope is a useful tool to help identifying the different kinds of projections present in a dataset and their different projection directions. Such analysis is also useful to distinguish between different kinds of particles or different particle conformations. In this paper we introduce a new algorithm for performing two-dimensional multireference alignment and classification that is based on a Hierarchical clustering approach using correntropy (instead of the more traditional correlation) and a modified criterion for the definition of the clusters specially suited for cases in which the Signal-to-Noise Ratio of the differences between classes is low. We show that our algorithm offers an improved sensitivity over current methods in use for distinguishing between different projection orientations and different particle conformations. This algorithm is publicly available through the software package Xmipp. (C) 2010 Elsevier Inc. All rights reserved.
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