We designed BioNAR to support a range of network analysis functionality,
complementing existing R packages and filling the methodological gaps necessary
to interrogate biomedical networks with respect to functional and disease
domains. For that purpose, we do not implement network reconstruction directly
(unless for synaptic networks), as other tools such as Cytoscape and Network
Analyst do this already. Rathher, we provide a detailed topologically-based
network analysis package, enabling the researcher to load networks generated
from the lab’s own meta-data, thus making the tool as widely applicable and
flexible as possible. We also provide a synaptic proteome network of our own for
validation.
Installation
You can install the development version of BioNAR from GitHub with:
BioNAR: Biological Network Analysis in R
We designed BioNAR to support a range of network analysis functionality, complementing existing R packages and filling the methodological gaps necessary to interrogate biomedical networks with respect to functional and disease domains. For that purpose, we do not implement network reconstruction directly (unless for synaptic networks), as other tools such as Cytoscape and Network Analyst do this already. Rathher, we provide a detailed topologically-based network analysis package, enabling the researcher to load networks generated from the lab’s own meta-data, thus making the tool as widely applicable and flexible as possible. We also provide a synaptic proteome network of our own for validation.
Installation
You can install the development version of BioNAR from GitHub with:
Example
Detailed description of the functionality and examples are provided in the package vignette:
Citation
If you are using this package, please cite the following paper:
Mclean C, Sorokin A, Simpson TI, Armstrong JD, Sorokina O (2023). “BioNAR: An Integrated Biological Network Analysis Package in Bioconductor.” Bioinformatics Advances, vbad137. doi:10.1093/bioadv/vbad137 https://doi.org/10.1093/bioadv/vbad137.