SiSaNA: A Python-based command line interface for Single-Sample Network Analysis
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Updated: Oct 31, 2026
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Nolan K Newman1, Tatiana Belova1, Mariike L Kuijjer1,2,3
1Norwegian Centre for Molecular Biosciences and Medicine (NCMBM), Nordic EMBL Partnership, University of Oslo, Oslo, Norway.
Motivation:
Reconstructing and analyzing single-sample regulatory networks has proven useful for understanding mechanisms of regulatory biology and its disruption in disease, but traditionally required a fair amount of programming experience and work from the user.
Summary:
Here, we present SiSaNA (Single-Sample Network Analysis), a workflow that removes the need of prior programming experience and allows for single-sample regulatory network reconstruction and analysis, all via a command line interface. Using example input files, we walk the user through a tutorial on how to run the SiSaNA pipeline, interpret the results, and obtain high-quality figures summarized in a single HTML file as output.
Availability And Implementation:
SiSaNA is freely available to install with pip via the Python Package Index. It is additionally available on GitHub at https://github.com/kuijjerlab/sisana. Example input files can be found at https://doi.org/10.5281/zenodo.17190642.
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