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Proteoscanner: A Full Proteomics Data Analysis and Visualization Open-Source Software

Ashraf Eltaher

Proteoscanner is an intuitive and versatile open-source software platform that offers a seamless and integrated approach for the analysis of proteomics data. With a focus on user-centric design, the software facilitates an end-to-end workflow that encompasses data preparation, pre-processing, statistical testing, visualization and biological interpretation. The incorporation of various statistical analyses and visualization tools within Proteoscanner allows for a sophisticated yet straightforward examination of complex datasets, ensuring that users can easily navigate through the analytical process. The software is an open-source, which allows full tweaking capabilities that can be summarized in transparency, flexibility, community-driven development, customizability, interoperability and long-term viability. It is compatible with different data array from current mass spectrometry equipment (Sciex and Thermo). This flexibility is further enhanced by the software's foundation in Python and R, allowing for cross-platform operability and exploiting the capabilities of the two languages. Proteoscanner has a standardized quality and efficiency in producing meaningful representations and generating comprehensive biological insights. Proteoscanner epitomizes the synthesis of user-friendly interface design with the analytical depth required for scientific inquiry. It stands as a testament to the software's commitment to facilitating scientific discovery, providing researchers with a tool that is not only comprehensive in its analytical capabilities but also intuitive in its use. This balance of sophistication and accessibility makes Proteoscanner an invaluable resource for the omics research community. The tool is available as an open-source downloadable executable file.