Ontology highlight
ABSTRACT:
The rapid progresses of high throughput sequencing technology-based omics and mass spectrometry (MS)-based proteomics such as data-independent acquisition (DIA) and its penetration to clinical studies have generated increasing number of proteomic data sets containing 100 s-1000s samples. To analyze these quantitative proteomic data sets and other -omics data sets 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 data sets. ProteomeExpert can be deployed on an operating system with Docker installed or with R language environment.Availability and implementation
The Docker image of ProteomeExpert is freely available from https://hub.docker.com/r/lifeinfo/proteomeexpert. The source code of ProteomeExpert is also openly accessible at http://www.github.com/lifeinfo/ProteomeExpert/. In addition, a demo server is provided at https://proteomic.shinyapps.io/peserver/.Supplementary information
SUPPLEMENTARY DATA ARE AVAILABLE AT BIOINFORMATICS ONLINE.
SUBMITTER: Zhu T
PROVIDER: S-EPMC8055226 | biostudies-literature |
REPOSITORIES: biostudies-literature