─ A User-Friendly Command-Line Tool Simplifying Differential Expression Analysis in Quantitative Proteomics.

Mass spectrometry is a cornerstone of quantitative proteomics, enabling relative protein quantification and differential expression analysis () of proteins. As experiments grow in complexity, involving more samples, groups, and identified proteins, interactive differential expression analysis tools become impractical. The addresses this challenge by providing a command-line interface that simplifies , making it accessible to nonprogrammers and seamlessly integrating it into workflow management systems.

A Multiyear Longitudinal Harmonization Study of Quality Controls in Mass Spectrometry Proteomics Core Facilities.

Quality control procedures play a pivotal role in ensuring the reliability and consistency of data generated in mass spectrometry-based proteomics laboratories. However, the lack of standardized quality control practices across laboratories poses challenges for data comparability and reproducibility. In response, we conducted a harmonization study within proteomics laboratories of the Core for Life alliance with the aim of establishing a common quality control framework, which facilitates comprehensive quality assessment and identification of potential sources of performance drift.

International symposium on integrative bioinformatics 2024 - editorial.

Integrative Bioinformatics faces the challenge of integrating, aligning, modelling, and simulating data in a coherent fashion to gain deeper insights into complex biological systems. This special issue of the Journal of Integrative Bioinformatics consists of six articles accepted for the presentation at the "18th International Symposium on Integrative Bioinformatics" held in Zürich on September 12-13, 2024. In addition, the symposium featured five keynote talks which will be discussed here as well.

Proceedings of the EuBIC-MS developers meeting 2023.

The 2023 European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) Developers Meeting was held from January 15th to January 20th, 2023, in Congressi Stefano Franscin at Monte Verità in Ticino, Switzerland. The participants were scientists and developers working in computational mass spectrometry (MS), metabolomics, and proteomics. The 5-day program was split between introductory keynote lectures and parallel hackathon sessions focusing on "Artificial Intelligence in proteomics" to stimulate future directions in the MS-driven omics areas.

Koina: Democratizing machine learning for proteomics research.

Recent developments in machine-learning (ML) and deep-learning (DL) have immense potential for applications in proteomics, such as generating spectral libraries, improving peptide identification, and optimizing targeted acquisition modes. Although new ML/DL models for various applications and peptide properties are frequently published, the rate at which these models are adopted by the community is slow, which is mostly due to technical challenges. We believe that, for the community to make better use of state-of-the-art models, more attention should be spent on making models easy to use and accessible by the community.