AI Article Synopsis
- The text discusses the significance of alternative splicing in gene regulation during disease progression and organism development.
- It introduces Spycone, a new framework designed to analyze time course data while accounting for alternative splicing, featuring an innovative detection algorithm and tools for network and gene set enrichment analysis.
- Spycone is made accessible as a PyPI package with source code available under the GPLv3 license, and additional supplementary data can be found online.
Article Abstract
Motivation: 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.
Results: 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.
Availability And Implementation: 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 Information: Supplementary data are available at Bioinformatics online.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831059 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btac846 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!