4.7 Article

PyIOmica: longitudinal omics analysis and trend identification

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BIOINFORMATICS
卷 36, 期 7, 页码 2306-2307

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btz896

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  1. Translational Research Institute for Space Health through National Aeronautics and Space Administration (NASA) [NNX16AO69A]

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The Summary: 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.

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