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        <dc:date>2015-04-15T10:51:34-07:00</dc:date>
        <title>auto3dem:documentation:protocols:asymmetric_reconstruction</title>
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        <description>Reconstruction of asymmetric components in icosahedral structures

A practical approach is to first process the data by ignoring the presence of any asymmetric component, thus just exploiting the symmetric properties of the structure. Since a symmetrized reconstruction will be used at each iteration, determination of the orientation and centre for each particle is expected to be sufficiently accurate, under the assumption that the additional component only minimally affects such determination. O…</description>
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        <dc:date>2015-12-22T17:49:21-07:00</dc:date>
        <title>auto3dem:documentation:protocols:focused_refinement</title>
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        <description>Mask-focused refinement

Starting with the version 4.05.2 of Auto3DEM, it is possible to refine the orientation and the origin of the particles while focusing on a sub-volume of interest. This is advantageous, for example, when trying to determine the structure of an asymmetric feature in a icosahedral model. The approach implemented is to define a sub-volume by means of a binary mask, so that the reference map will only contain the region of interest. The volume excluded can then be interpreted…</description>
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        <title>auto3dem:documentation:protocols:gold_standard</title>
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        <description>Gold Standard reconstruction

Starting with the version 4.05 of Auto3DEM, it is possible to follow
what has been recently defined as the 'gold standard procedure' (called
'unbiased model reconstruction method' in the original paper on Auto3DEM
by Yan et. al, 2007), in a way that is almost transparent to the user.
The procedure consists of splitting the data into two half sets of
particles, at the beginning of the iterative alignment: at each
iteration each set generates an independent reconstruc…</description>
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        <title>auto3dem:documentation:protocols:initial_model</title>
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        <description>Generating a starting model

Obtaining a reconstructed density map from a set of particles is an iterative process that requires an initial reference volume, typically a low-resolution reconstruction from the same or a similar sample. When a starting model is not available, one can easily be constructed for icosahedral viruses using the program</description>
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