Summary: The rapid progresses of high-throughput sequencing technology-based omics and mass spectrometry-based proteomics, such as data-independent acquisition and its penetration to clinical studies have generated increasing number of proteomic datasets containing hundreds to thousands of samples. To analyze these quantitative proteomic datasets and other omics (e.g. transcriptomics and metabolomics) datasets more efficiently and conveniently, we present a web server-based software tool ProteomeExpert implemented in Docker, which offers various analysis tools for experimental design, data mining, interpretation and visualization of quantitative proteomic datasets. ProteomeExpert can be deployed on an operating system with Docker installed or with R language environment.
CITATION STYLE
Zhu, T., Chen, H., Yan, X., Wu, Z., Zhou, X., Xiao, Q., … Guo, T. (2021). ProteomeExpert: A Docker image-based web server for exploring, modeling, visualizing and mining quantitative proteomic datasets. Bioinformatics, 37(2), 273–275. https://doi.org/10.1093/bioinformatics/btaa1088
Mendeley helps you to discover research relevant for your work.