R/components-nontarget.R, R/components-nontarget-set.R
componentsNT-class.RdThis class is derived from components and is used to store
results from unsupervised homolog detection with the nontarget
package.
plotGraph returns the result of visNetwork.
Objects from this class are generated by
generateComponentsNontarget
plotGraph(componentsNT): Plots an interactive network graph for linked
homologous series (i.e. series with (partial) overlap which could
not be merged). The resulting graph can be browsed interactively and allows
quick inspection of series which may be related. The graph is constructed
with the igraph package and rendered with
visNetwork.
homolA list with homol objects for each replicate group
as returned by homol.search
The componentsNTSet class is applicable for sets workflows. This class is derived from componentsNT and therefore largely follows the same user interface.
The following methods are specifically defined for sets workflows:
unset Converts the object data for a specified set into a 'non-set' object (componentsNTUnset), which allows it to be used in 'regular' workflows. Only the components in the specified set are kept. Furthermore, the
component names are restored to non-set specific names (see generateComponents for more details).
The following methods are changed or with new functionality:
plotGraph Currently can only create graph networks from one set (specified by the set
argument).
Note that the componentsNTSet class does not have a homol slot. Instead, the setObjects
method can be used to access this data for a specific set.
Loos M, Singer H (2017).
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Journal of Cheminformatics, 9(1).
doi:10.1186/s13321-017-0197-z
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Loos M, Gerber C, Corona F, Hollender J, Singer H (2015).
“Accelerated Isotope Fine Structure Calculation Using Pruned Transition Trees.”
Analytical Chemistry, 87(11), 5738-5744.
https://pubs.acs.org/doi/abs/10.1021/acs.analchem.5b00941.
Antonov M, Csárdi G, Horvát S, Müller K, Nepusz T, Noom D, Salmon M, Traag V, Welles BF, Zanini F (2023).
“igraph enables fast and robust network analysis across programming languages.”
arXiv preprint arXiv:2311.10260.
doi:10.48550/arXiv.2311.10260
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Csárdi G, Nepusz T (2006).
“The igraph software package for complex network research.”
InterJournal, Complex Systems, 1695.
https://igraph.org.
Csárdi G, Nepusz T, Traag V, Horvát S, Zanini F, Noom D, Müller K, Schoch D, Salmon M (2025).
igraph: Network Analysis and Visualization in R.
doi:10.5281/zenodo.7682609
, R package version 2.2.1, https://CRAN.R-project.org/package=igraph.