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Tool

microSTASIS

The toolkit 'µSTASIS', or microSTASIS, has been developed for the stability analysis of microbiota in a temporal framework by leveraging on iterative clustering. Concretely, the core function uses Hartigan-Wong k-means algorithm as many times as possible for stressing out paired samples from the same individuals to test if they remain together for multiple numbers of clusters over a whole data set of individuals. Moreover, the package includes multiple functions to subset samples from paired times, validate the results or visualize the output.

Basic Information

Repository https://www.bioconductor.org/packages/release/bioc/html/microSTASIS.html
Documentation https://www.bioconductor.org/packages/release/bioc/manuals/microSTASIS/man/microSTASIS.pdf
Seminar Alfonso Benítez Páez (IATA, CSIC) presents the tool microSTASIS
Main publication (DOI) 10.1093/bib/bbac055 view
Contact email bio.pedro.technology@gmail.com
Authors/Maintainers Alfonso Benítez Páez
Type of application R/python package
Programming languages R
Keywords Omics, Computational Methods, Data Analysis, Artificial Intelligence, Machine Learning in Biology, Applications of Computational Biology, Statistical Methods for Biology, Multivariate statistics, Non-parametric statistics, Microbial communities, Metagenomics, Amplicon Sequencing, Clinical data

Technical details

Input file formats
Output file formats
Software compatibility Linux, Mac, Windows
Hardware requirements
Type of containerization Conda
Wrapper type
Compatible tools
Funding resource
Funding support
Statistics
Unique users (last 12 months)
Unique users (since first release)
Software downloads (last 12 months) 1000-10000 (2459 as of 15/10/2026)
Software downloads (since first release) 1000-10000 (7857 as of 15/10/2026)
Jobs submitted (last 12 months)
Jobs submitted (since first release)
Repository clones (last 12 months)
Repository clones (since first release)
Citations (last 12 months) <100 (~1 as of 15/10/2026)
Citations (since first release) <100 (6 as of 15/10/2026)
Early-stage researcher effort (development) Master students
Early-stage researcher effort (maintenance) Master students
Technician-supported effort (development)
Technician-supported effort (maintenance)
Other effort (development)
Other effort (maintenance)
Total effort (development)
Total effort (maintenance)

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