Diogo B. Lima , Max Ruwolt , Marlon D.M. Santos , Ke Pu , Fan Liu , Paulo C. Carvalho
{"title":"Q2C: A software for managing mass spectrometry facilities","authors":"Diogo B. Lima , Max Ruwolt , Marlon D.M. Santos , Ke Pu , Fan Liu , Paulo C. Carvalho","doi":"10.1016/j.jprot.2025.105511","DOIUrl":null,"url":null,"abstract":"<div><div>We present Q2C, an open-source software designed to streamline mass spectrometer queue management and assess performance based on quality control metrics. Q2C provides a fast and user-friendly interface to visualize projects queues, manage analysis schedules and keep track of samples that were already processed. Our software includes analytical tools to ensure equipment calibration and provides comprehensive log documentation for machine maintenance, enhancing operational efficiency and reliability. Additionally, Q2C integrates with Google™ Cloud, allowing users to access and manage the software from different locations while keeping all data synchronized and seamlessly integrated across the system. For multi-user environments, Q2C implements a write-locking mechanism that checks for concurrent operations before saving data. When conflicts are detected, subsequent write requests are automatically queued to prevent data corruption, while the interface continuously refreshes to display the most current information from the cloud storage. Finally, Q2C, a demonstration video, and a user tutorial are freely available for academic use at <span><span>https://github.com/diogobor/Q2C</span><svg><path></path></svg></span>. Data are available from the ProteomeXchange consortium (identifier PXD055186).</div></div><div><h3>Significance</h3><div>Q2C addresses a critical gap in mass spectrometry facility management by unifying sample queue management with instrument performance monitoring. It ensures optimal instrument utilization, reduces turnaround times, and enhances data quality by dynamically prioritizing and routing samples based on analysis type and urgency. Unlike existing tools, Q2C integrates queue control and QC in a single platform, maximizing operational efficiency and reliability.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":"321 ","pages":"Article 105511"},"PeriodicalIF":2.8000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of proteomics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874391925001381","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
We present Q2C, an open-source software designed to streamline mass spectrometer queue management and assess performance based on quality control metrics. Q2C provides a fast and user-friendly interface to visualize projects queues, manage analysis schedules and keep track of samples that were already processed. Our software includes analytical tools to ensure equipment calibration and provides comprehensive log documentation for machine maintenance, enhancing operational efficiency and reliability. Additionally, Q2C integrates with Google™ Cloud, allowing users to access and manage the software from different locations while keeping all data synchronized and seamlessly integrated across the system. For multi-user environments, Q2C implements a write-locking mechanism that checks for concurrent operations before saving data. When conflicts are detected, subsequent write requests are automatically queued to prevent data corruption, while the interface continuously refreshes to display the most current information from the cloud storage. Finally, Q2C, a demonstration video, and a user tutorial are freely available for academic use at https://github.com/diogobor/Q2C. Data are available from the ProteomeXchange consortium (identifier PXD055186).
Significance
Q2C addresses a critical gap in mass spectrometry facility management by unifying sample queue management with instrument performance monitoring. It ensures optimal instrument utilization, reduces turnaround times, and enhances data quality by dynamically prioritizing and routing samples based on analysis type and urgency. Unlike existing tools, Q2C integrates queue control and QC in a single platform, maximizing operational efficiency and reliability.
期刊介绍:
Journal of Proteomics is aimed at protein scientists and analytical chemists in the field of proteomics, biomarker discovery, protein analytics, plant proteomics, microbial and animal proteomics, human studies, tissue imaging by mass spectrometry, non-conventional and non-model organism proteomics, and protein bioinformatics. The journal welcomes papers in new and upcoming areas such as metabolomics, genomics, systems biology, toxicogenomics, pharmacoproteomics.
Journal of Proteomics unifies both fundamental scientists and clinicians, and includes translational research. Suggestions for reviews, webinars and thematic issues are welcome.