Open Access
Empirical determination of effective gap penalties for sequence comparison
BioinformaticsPeer ReviewedJustin Reese +12002Journals
No general theory guides the selection of gap penalties for local sequence alignment. We empirically determined the most effective gap penalties for protein sequence similarity searches with substitution matrices over a range of target evolutionary distances from 20 to 200 Point Accepted Mutations (PAMs).

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