ProteoScanner: a full open-source proteomics data analysis and visualization software

preprint OA: closed
View at publisher

Abstract

ProteoScanner is an intuitive and versatile open-source software platform that offers an integrated approach for proteomics data analysis. With a focus on user-centric design, it 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 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, exploiting the capabilities of the two languages. ProteoScanner has a standardized quality and efficiency in producing comprehensive representations and biological insights. Combining a user-friendly interface with the required analytical depth, It stands as a testament to the software’s commitment to facilitating scientific discovery, providing researchers with a comprehensive as well as an intuitive tool in use. This balance of sophistication and accessibility makes ProteoScanner an invaluable resource for the omics research community. It is available as downloadable, executable file.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-07-13T06:45:44.122212+00:00