SiSaNA: A Python-based command line interface for Single-Sample Network Analysis

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ID: 337883
2026
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Abstract
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.
Reference Key
openalex_W4416230979 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nolan K. Newman, Tatiana Belova, Marieke L. Kuijjer
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Journal BMC Bioinformatics
Year 2026
DOI
10.1093/bioinformatics/btag798
URL
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btag798/72616254/btag798.pdf
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