On spaced seeds for similarity search

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On spaced seeds for similarity search

Genomics studies routinely depend on similarity searches based on the strategy of finding short seed matches (contiguous k bases) which are then extended. The particular choice of the seed length, k, is determined by the tradeoff between search speed (larger k reduces chance hits) and sensitivity (smaller k finds weaker similarities). A novel idea of using a single deterministic optimized space...

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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

MOTIVATION Homology search finds similar segments between two biological sequences, such as DNA or protein sequences. The introduction of optimal spaced seeds in PatternHunter has increased both the sensitivity and the speed of homology search, and it has been adopted by many alignment programs such as BLAST. With the further improvement provided by multiple spaced seeds in PatternHunterII, Smi...

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Vector seeds: An extension to spaced seeds

We present improved techniques for finding homologous regions in DNA and protein sequences. Our approach focuses on the core regions of a local pairwise alignment; we suggest new ways to characterize these regions that allow marked improvements in both specificity and sensitivity over existing techniques for sequence alignment. For any such characterization, which we call a vector seed, we give...

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On the complexity of the spaced seeds

Optimal spaced seeds were introduced by the theoretical computer science community to bioinformatics to effectively increase homology search sensitivity. These seeds are serving many homology queries daily. However the computational complexity of finding the optimal spaced seeds remains to be open. In this paper, we prove that computing hit probability of a spaced seed in a uniform homology reg...

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ژورنال

عنوان ژورنال: Discrete Applied Mathematics

سال: 2004

ISSN: 0166-218X

DOI: 10.1016/s0166-218x(03)00382-2