| Literature DB >> 33724836 |
Roger Olivella1,2, Cristina Chiva1,2, Marc Serret1,2, Daniel Mancera1,2, Luca Cozzuto1, Antoni Hermoso1, Eva Borràs1,2, Guadalupe Espadas1,2, Julia Morales1,2, Olga Pastor1,2, Amanda Solé1,2, Julia Ponomarenko1,2, Eduard Sabidó1,2.
Abstract
QCloud is a cloud-based system to support proteomics laboratories in daily quality assessment using a user-friendly interface, easy setup, and automated data processing. Since its release, QCloud has facilitated automated quality control for proteomics experiments in many laboratories. QCloud provides a quick and effortless evaluation of instrument performance that helps to overcome many analytical challenges derived from clinical and translational research. Here we present an improved version of the system, QCloud2. This new version includes enhancements in the scalability and reproducibility of the quality-control pipelines, and it features an improved front end for data visualization, user management, and chart annotation. The QCloud2 system also includes programmatic access and a standalone local version.Keywords: cloud computing; computational proteomics; proteomics; quality control
Year: 2021 PMID: 33724836 DOI: 10.1021/acs.jproteome.0c00853
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466