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Titlebook: Algorithms in Bioinformatics; 9th International Wo Steven L. Salzberg,Tandy Warnow Conference proceedings 2009 Springer-Verlag Berlin Heide

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Dorothée Kohler,Jean-Daniel Weiszons of duplication distance including models that allow certain types of substring deletions and inversions. These extensions will permit more biologically realistic analyses of segmental duplications in genomes.
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On the Upper Bound of the Prediction Accuracy of Residue Contacts in Proteins with Correlated Mutat obtain that the upper limit to the accuracy achievable in the prediction of the protein residue contacts is independent of the optimized similarity matrix. This suggests that poor scoring may be due to the choice of the linear correlation function in evaluating correlated mutations.
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Constructing Majority-Rule Supertrees,eport on a preliminary computational study of our approach. The results indicate that our method is computationally feasible for moderately large inputs. Perhaps more significantly, our results suggest that the majority-rule (+) approach produces biologically meaningful results.
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A Markov Classification Model for Metabolic Pathways,rmance of HME3M with logistic regression and support vector machines (SVM) in both simulated and realistic environments. These experiments clearly show HME3M is a highly interpretable model that outperforms common classification methods for large realistic networks and high levels of pathway noise.
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Efficient Algorithms for Analyzing Segmental Duplications, Deletions, and Inversions in Genomes,ons of duplication distance including models that allow certain types of substring deletions and inversions. These extensions will permit more biologically realistic analyses of segmental duplications in genomes.
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