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pubmed-article:21210988pubmed:abstractTextWith 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.lld:pubmed
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pubmed-article:21210988pubmed:authorpubmed-author:DangC LCLlld:pubmed
pubmed-article:21210988pubmed:authorpubmed-author:GaoJianjiongJlld:pubmed
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pubmed-article:21210988pubmed:volume11 Suppl 12lld:pubmed
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pubmed-article:21210988pubmed:dateRevised2011-7-25lld:pubmed
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pubmed-article:21210988pubmed:articleTitleThe Musite open-source framework for phosphorylation-site prediction.lld:pubmed
pubmed-article:21210988pubmed:affiliationDepartment of Computer Science, C.S. Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA.lld:pubmed
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