Optimizing Multiple Seeds for Protein Homology Search

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Optimizing Multiple Spaced Seeds for Homology Search

Optimized spaced seeds improve sensitivity and specificity in local homology search. Several authors have shown that multiple seeds can have better sensitivity and specificity than single seeds. We describe a linear programming (LP)-based algorithm to optimize a set of seeds. Theoretically, our algorithm offers a performance guarantee: the sensitivity of a chosen seed set is at least 70% of wha...

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Multiple spaced seeds for homology search

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It has been observed that in homology search gapped seeds have better sensitivity than ungapped ones for the same cost (weight). In this paper, we propose a probability leakage model (a dissipative Markov system) to elucidate the mechanism that confers power to spaced seeds. Based on this model, we identify desirable features of gapped search seeds and formulate an extremely efficient procedure...

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ژورنال

عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics

سال: 2005

ISSN: 1545-5963

DOI: 10.1109/tcbb.2005.13