MetaLP: An integrative linear programming method for protein inference in metaproteomics
Description:
Authors of the article discuss how MetaLP was developed here for protein inference in metaproteomics using an integrative linear programming method. Authors claim that MetaLP could substantially improve protein inference for complex metaproteomes by incorporating taxonomic abundance information in a linear programming model.
Date:
October 21, 2022
Creator:
Feng, Shichao; Ji, Hong-Long; Wang, Huan; Zhang, Bailu; Sterzenbach, Ryan; Pan, Chongle et al.
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Partner:
UNT College of Science