RT Journal Article
SR Electronic
T1 PyIOmica: Longitudinal Omics Analysis and Classification
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 708941
DO 10.1101/708941
A1 Sergii Domanskyi
A1 Carlo Piermarocchi
A1 George I. Mias
YR 2019
UL http://biorxiv.org/content/early/2019/07/19/708941.abstract
AB Summary PyIOmica is an open-source Python package focusing on integrating longitudinal multiple omics datasets, characterizing, and classifying temporal trends. The package includes multiple bioinformatics tools including data normalization, annotation, classification, 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.Availability and implementation 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.3342612).Contact gmias{at}msu.edu