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Citation(s) in RCA

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For: Sayadi A, Briganti L, Tramontano A, Via A. Exploiting publicly available biological and biochemical information for the discovery of novel short linear motifs. PLoS One 2011;6:e22270. [PMID: 21799808 PMCID: PMC3140502 DOI: 10.1371/journal.pone.0022270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2011] [Accepted: 06/22/2011] [Indexed: 11/25/2022]  Open
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1
Song T, Bu X, Gu H. Combining intrinsic disorder prediction and augmented training of hidden Markov models improves discriminative motif discovery. Chem Phys Lett 2015. [DOI: 10.1016/j.cplett.2015.06.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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