Review Article

Structural Study of Heterogeneous Biological Samples by Cryoelectron Microscopy and Image Processing

Table 1

Packages used to work with heterogeneous datasets.

Package namePackage referenceExamplesStatistical
Method used
References

IMAGICVan Heel et al., 1996 [32],
https://www.imagescience.de/imagic_em.html
Hsp26
GroEL-Rhodanese
70Sribosome and the U4/U6.U5 tri-snRNP
MSAWhite et al., 2004 [33]
Elad et al., 2008 [5]
Sander et al., 2010 [30]

SPIDERFrank et al., 1996 [34],
http://www.wadsworth.org/spider_doc/spider
70S ribosome
70S ribosome, tRNAs & elongation factor
G (EF-G) complexes
MSA
BS
Liao and Frank, 2010 [35] (for bootstrapping volume calculation)
Penczek et al., 2006 [36]

RELIONScheres, 2012 [37]
Scheres, 2015 [38],
https://www2.mrc-lmb.cam.ac.uk/relion/index.php/Main_Page
70S ribosome complex
Ltn1 E3 ligase (four model refinements)
Subtomogram averaging
ML (regularized likelihood optimization),
BS
Anden et al., 2015 [39]
Lyumkis et al., 2013 [13]
Bharat and Scheres, 2016 [40]

EMAN2http://blake.bcm.edu/emanwiki/EMAN2Beta-galactosidase  
GroEL, Ca2+ release channel
MSA, BS, CMTang et al., 2007 [41],
https://www.youtube.com/c/SteveLudtke

SPARXHohn et al., 2007 [42],
http://blake.bcm.edu/emanwiki/EMAN2
70S ribosome
70S ribosome
Ltn1 E3 ligase (single model refinement)
BS,CMLiao and Frank, 2010 [35] (for eigendecomposition)
Penczek et al., 2011 [28]
Lyumkis et al., 2013 [13]

XMIPPSorzano et al., 2004 [43]
De la Rosa-Trevín et al., 2013 [44],
http://xmipp.cnb.csic.es/
70S ribosome & Simian Virus 40 large T-antigen
groEL/groES complexes
& p53
B. Subtilis G40P helicase & SV40 large T-antigen
ML
NN
Scheres et al., 2007 [45, 46]
Scheres et al., 2009 [47]
Pascual-Montano et al., 2001 [48]

ASPIRE(http://spr.math.princeton.edu/)70S ribosomeCMKatsevich et al., 2015 [49]

FREALIGNGrigorieff 2007 [50]
http://grigoriefflab.janelia.org/frealign
70S ribosomeMLLyumkis et al., 2013 [51]

Appionhttp://www.appion.orgintegration of different software packagesLander et al., 2009 [52]

Scipionhttp://scipion.cnb.csic.esshell that combined different packagesde la Rosa-Trevín et al., 2016 [53]

MSA: multivariate statistical analysis; ML: maximum likelihood; BS: bootstrapping; CM: covariance maps; NN: neural networks. For more software packages see http://www.emdatabank.org/emsoftware.html.