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• W4313262010 abstract "During disease progression or organism development, alternative splicing may lead to isoform switches that demonstrate similar temporal patterns and reflect the alternative splicing co-regulation of such genes. Tools for dynamic process analysis usually neglect alternative splicing.Here, we propose Spycone, a splicing-aware framework for time course data analysis. Spycone exploits a novel IS detection algorithm and offers downstream analysis such as network and gene set enrichment. We demonstrate the performance of Spycone using simulated and real-world data of SARS-CoV-2 infection.The Spycone package is available as a PyPI package. The source code of Spycone is available under the GPLv3 license at https://github.com/yollct/spycone and the documentation at https://spycone.readthedocs.io/en/latest/.Supplementary data are available at Bioinformatics online." @default.
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• W4313262010 date "2022-12-29" @default.
• W4313262010 modified "2023-10-01" @default.
• W4313262010 title "Systematic analysis of alternative splicing in time course data using Spycone" @default.
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• W4313262010 doi "https://doi.org/10.1093/bioinformatics/btac846" @default.
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