title: The Musite open-source framework for phosphorylation-site prediction.
abstract: BACKGROUND
  With the rapid accumulation of phosphoproteomics data, phosphorylation-site prediction is becoming an increasingly active research area. More than a dozen phosphorylation-site prediction tools have been released in the past decade. However, there is currently no open-source framework specifically designed for phosphorylation-site prediction except Musite.
  
  
  RESULTS
  Here we present the Musite open-source framework for building applications to perform machine learning based phosphorylation-site prediction. Musite was implemented with six modules loosely coupled with each other. With its well-designed Java application programming interface (API), Musite can be easily extended to integrate various sources of biological evidence for phosphorylation-site prediction.
  
  
  CONCLUSIONS
  Released under the GNU GPL open source license, Musite provides an open and extensible framework for phosphorylation-site prediction. The software with its source code is available at http://musite.sourceforge.net.
authors.affiliation: Department of Computer Science, C.S. Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA.
authors.forename: Jianjiong
authors.initials: J
authors.lastname: Gao
authors.forename: Dong
authors.initials: D
authors.lastname: Xu
mesh_terms: D001185:Artificial Intelligence; D010750:Phosphoproteins / Q000737:chemistry*; D010766:Phosphorylation; D040901:Proteomics; D020539:Sequence Analysis, Protein; D012984:Software
chemical_list: D010750:Phosphoproteins