PyIOmica: Longitudinal Omics Analysis and Trend Identification.

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ID: 69791
2019
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Abstract
PyIOmica is an open-source Python package focusing on integrating longitudinal multiple omics datasets, characterizing, and categorizing temporal trends. The package includes multiple bioinformatics tools including data normalization, annotation, categorization, visualization, and enrichment analysis for gene ontology terms and pathways. Additionally, the package includes an implementation of visibility graphs to visualize time series as networks.PyIOmica is implemented as a Python package (pyiomica), available for download and installation through the Python Package Index (PyPI) (https://pypi.python.org/pypi/pyiomica), and can be deployed using the Python import function following installation. PyIOmica has been tested on Mac OS X, Unix/Linux and Microsoft Windows. The application is distributed under an MIT license. Source code for each release is also available for download on Zenodo (https://doi.org/10.5281/zenodo.3548040).Supplementary data are available at Bioinformatics.
Reference Key
domanskyi2019pyiomicabioinformatics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Domanskyi, Sergii;Piermarocchi, Carlo;Mias, George I;
Journal Bioinformatics
Year 2019
DOI
btz896
URL
Keywords
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