期刊
JOURNAL OF PROTEOME RESEARCH
卷 20, 期 12, 页码 5419-5423出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.1c00678
关键词
mass spectrometry; data processing; Galaxy; interaction; visualization
资金
- Bergen Research Foundation [BFS2016REK02]
- Research Council of Norway [301178]
Mass spectrometry-based proteomics generates large amounts of data, and PeptideShaker Online is a user-friendly web-based framework that helps researchers with data identification, storage, and interpretation.
Mass spectrometry-based proteomics is a high-throughput technology generating ever-larger amounts of data per project. However, storing, processing, and interpreting these data can be a challenge. A key element in simplifying this process is the development of interactive frameworks focusing on visualization that can greatly simplify both the interpretation of data and the generation of new knowledge. Here we present PeptideShaker Online, a user-friendly web-based framework for the identification of mass spectrometry-based proteomics data, from raw file conversion to interactive visualization of the resulting data. Storage and processing of the data are performed via the versatile Galaxy platform (through SearchGUI, PeptideShaker, and moFF), while the interaction with the results happens via a locally installed web server, thus enabling researchers to process and interpret their own data without requiring advanced bioinformatics skills or direct access to compute-intensive infrastructures. The source code, additional documentation, and a fully functional demo is available at hops://github.coln/barsnes-grouts/peptide-shaker-oniine.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据