Abstract
Alternative splicing (AS) has been well-investigated at the trancriptome level by the application of RNA-seq technology. There is an ongoing debate on the biological importance of AS to proteome complexity. A toolkit for accurately identifying AS from proteome data is urgently needed. Here, a software called PASS is developed to comprehensively detect AS events for the proteomics mass spectrometry (MS) data. Moreover, PASS is well compatible with MS identification by the proteogenomics approach, which provides novel AS candidates for proteome identification. The workflow of PASS mainly contains five core steps: transcripts reconstruction from RNA-Seq data, novel protein sequence generation, MS data searching, proSAM file formatting, and AS detection. Access to the program from either step is supported. PASS is successfully applied to proteome data of mouse hepatocytes and 407 AS events are first identified with proteomics MS evidences. PASS is expected to be widely used to identify AS events on proteome data and provide a deeper understanding of the proteome isoforms. The PASS software is freely available at https://github.com/wupengomics/PASS.
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