PyProteinInference

PyProteinInference provides a unified interface for applying various protein inference algorithms and computing protein-level false discovery rates from tandem mass spectrometry data.

Key Features:

• Multiple Inference Algorithms: Enables application of different protein inference algorithms through a single unified interface.
• Protein-Level FDR Calculation: Computes protein-level set-based false discovery rates from MS/MS data.
• Pipeline Agnosticism: Functions independently of other tools in the analysis pipeline.

Scientific Applications:

• Protein Inference Benchmarking: Facilitates evaluation and comparison of different inference algorithms on standard benchmarking data sets.
• Biological Mechanism Elucidation: Supports interpretation of underlying biological mechanisms in proteomic data from samples such as K562 whole-cell lysate.

Methodology:

Protein inference from tandem mass spectrometry (MS/MS) data with set-based false discovery rate computation.