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betAS is a user-friendly R package that allows intuitive analysis and
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**Please note that you are currently in the development branch.**
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**This README file is under active maintenance**
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> **Original article:**
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>
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> Mariana Ascensão-Ferreira, Rita Martins-Silva, Nuno Saraiva-Agostinho and Nuno L. Barbosa-Morais (2023).
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> [betAS: intuitive analysis and visualisation of differential alternative splicing using beta distributions]([url](https://www.biorxiv.org/content/10.1101/2022.12.26.521935v2)). *bioRxiv*
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betAS is a user-friendly **R package** and **Shiny App** that allows intuitive analysis and
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visualisation of differential alternative splicing (AS) based on
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beta distributions. (This is the developing version/branch.)
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beta distributions.
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Beta distributions are suitable to quantify inclusion proportions of alternative sequences,
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using RNA sequencing reads supporting their inclusion and exclusion as surrogates for the two
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distribution shape parameters. Each beta distribution has the inclusion proportion as mean
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value and is narrower when the read coverage is higher, facilitating the interpretability of its
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precision when plotted. betAS uses beta distributions to accurately model PSI values and their precision,
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and to quantitatively and visually compare AS between groups of samples.
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betAS allows the analysis of user-provided tables with AS quantifications, such as those obtained by ```vast-tools```,
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```rMATS``` or ```Whippet```, ranking differentially spliced events by a significance metric that incorporates the compromise
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between the uncertainty in individual sample estimates and the variability among replicates.
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## Tutorials
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