Alternative splicing is a biological process during gene expression that allows a single gene to code for multiple proteins. However, splicing patterns can be altered in some conditions or diseases. Here, we present BANDITS, a R/Bioconductor package to perform differential splicing, at both gene and transcript level, based on RNA-seq data. BANDITS uses a Bayesian hierarchical structure to explicitly model the variability between samples and treats the transcript allocation of reads as latent variables. We perform an extensive benchmark across both simulated and experimental RNA-seq datasets, where BANDITS has extremely favourable performance with respect to the competitors considered.

中文翻译：

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BANDITS：贝叶斯差分拼接解释样本间变异性和映射不确定性


选择性剪接是基因表达过程中的一个生物过程，允许单个基因编码多种蛋白质。然而，剪接模式在某些情况或疾病中可能会改变。在这里，我们推出了 BANDITS，这是一个 R/Bioconductor 包，可根据 RNA-seq 数据在基因和转录水平上执行差异剪接。 BANDITS 使用贝叶斯分层结构对样本之间的变异性进行显式建模，并将读数的转录本分配视为潜在变量。我们对模拟和实验 RNA-seq 数据集进行了广泛的基准测试，其中 BANDITS 相对于所考虑的竞争对手具有极其有利的性能。