SECAT: Quantifying Protein Complex Dynamics across Cell States by Network-Centric Analysis of SEC-SWATH-MS Profiles

标题
SECAT: Quantifying Protein Complex Dynamics across Cell States by Network-Centric Analysis of SEC-SWATH-MS Profiles
作者
关键词
proteomics, protein complex, protein-protein interaction, network, differential analysis, size-exclusion chromatography, protein correlation profiling, data-independent acquisition, machine learning, algorithm
出版物
Cell Systems
Volume 11, Issue 6, Pages 589-607.e8
出版商
Elsevier BV
发表日期
2020-12-17
DOI
10.1016/j.cels.2020.11.006

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started