A direct method for computing extreme value (Gumbel) parameters for gapped biological sequence alignments
by Terrance Quinn; Zachariah Sinkala
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 10, No. 2, 2014

Abstract: We develop a general method for computing extreme value distribution (Gumbel, 1958) parameters for gapped alignments. Our approach uses mixture distribution theory to obtain associated BLOSUM matrices for gapped alignments, which in turn are used for determining significance of gapped alignment scores for pairs of biological sequences. We compare our results with parameters already obtained in the literature.

Online publication date: Tue, 25-Feb-2014

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