SanXoT: a modular and versatile package for the quantitative analysis of high-throughput proteomics experiments

Area of Science:

• Proteomics
• Bioinformatics
• Computational Biology

Background:

• Mass spectrometry-based proteomics generates vast amounts of data, requiring sophisticated statistical methods.
• Existing tools may not adequately address the complexity of high-throughput quantitative proteomics experiments.

Purpose of the Study:

• To introduce SanXoT, an open-source software package for the statistical analysis of high-throughput quantitative proteomics data.
• To provide a modular, scalable, and user-configurable solution for complex proteomics data analysis.

Main Methods:

• SanXoT is built upon a weighted spectrum, peptide, and protein statistical model.
• The software is designed for modularity and scalability, enabling customizable analysis workflows.

Main Results:

• SanXoT supports a wide range of experimental setups, including multi-experiment analysis, systems biology, and post-translational modification quantification.
• It facilitates the comparison and merging of experimental data from both technical and biological replicates.

Conclusions:

• SanXoT offers a versatile platform for the statistical analysis of quantitative proteomics data.
• Its adaptable workflows empower researchers to tackle diverse experimental designs in proteomics research.