Family pairwise search with embedded motif models

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چکیده

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Family pairwise search with embedded motif models

MOTIVATION Statistical models of protein families, such as position-specific scoring matrices, profiles and hidden Markov models, have been used effectively to find remote homologs when given a set of known protein family members. Unfortunately, training these models typically requires a relatively large set of training sequences. Recent work (Grundy, J. Comput. Biol., 5,<479-492, 1998) has sho...

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The function of an unknown biological sequence can often be accurately inferred by identifying sequences homologous to the original sequence. Given a query set of known homologs, there exist at least three general classes of techniques for finding additional homologs: pairwise sequence comparisons, motif analysis, and hidden Markov modeling. Pairwise sequence comparisons are typically employed ...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 1999

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/15.6.463