Remote homology detection based on oligomer distances
نویسندگان
چکیده
منابع مشابه
Remote homology detection based on oligomer distances
MOTIVATION Remote homology detection is among the most intensively researched problems in bioinformatics. Currently discriminative approaches, especially kernel-based methods, provide the most accurate results. However, kernel methods also show several drawbacks: in many cases prediction of new sequences is computationally expensive, often kernels lack an interpretable model for analysis of cha...
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Remote homology detection is a central problem in computational biology. Currently, the most effective tools for addressing this problem are kernel-based discriminative methods employing support vector machines. These methods work by transforming the protein sequences into (a possibly high-dimensional) vector space, called feature space, and deriving a kernel function in the feature space, whic...
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MOTIVATION Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. RESULTS We present a method for detecting remote homology that is based on the presence of discrete sequence motifs. The motif content of a pair of sequences is used to define a similarity that is used ...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2006
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btl376