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pyMosaic 0.4.0

Authors: Hinsen, Konrad;
Abstract

MOSAIC is a modular data model for molecular simulation applications pyMosaic is a Python library that provides an in-memory representation of MOSAIC data items plus input/output in HDF5 and XML formats. A command-line tool provides conversion between the HDF5 and XML representations as well as data import from the Protein Data Bank (PDB). This file is an ActivePapers edition of pyMosaic 0.4.0. ActivePapers is a computational science framework that supports reproducible research and publishing computations. An ActivePaper can contain any combination of code, data, and documentation. The pyMosaic ActivePaper is a code library with documentation. It can be referenced by other ActivePapers that contain molecular simulation data in Mosaic HDF5 format. For further information, see The pyMosaic Web site: http://pypi.python.org/pypi/pyMosaic The MOSAIC Web site: http://mosaic-data-model.github.io/ The ActivePapers Web site: http://www.activepapers.org/

Keywords

ActivePapers, molecular simulation, MOSAIC, Python

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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