SOMMD: Self Organising Maps for the Analysis of Molecular Dynamics Data
Processes data from Molecular Dynamics simulations using
Self Organising Maps. Features include the ability to read different
input formats. Trajectories can be analysed to identify groups of important
frames. Output visualisation can be generated for maps and pathways.
Methodological details can be found in Motta S et al (2022)
<doi:10.1021/acs.jctc.1c01163>.
I/O functions for xtc format files were implemented using the 'xdrfile'
library available under open source license. The relevant information can
be found in inst/COPYRIGHT.
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
bio3d, kohonen, abind, cluster, methods, igraph |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2024-10-02 |
| DOI: |
10.32614/CRAN.package.SOMMD |
| Author: |
Alessandro Pandini
 [aut, cph],
Stefano Motta
[aut, cre, cph],
Erik Lindahl [ctb] (Author of xdrfile C library),
David van der Spoel [ctb] (Author of xdrfile C library) |
| Maintainer: |
Stefano Motta <stefano.motta at unimib.it> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Citation: |
SOMMD citation info |
| Materials: |
README NEWS |
| CRAN checks: |
SOMMD results |
Documentation:
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