We consider the inverse parametric sequence alignment problem, where a sequence alignment is given and the task is to determine parameter values such that the given alignment is optimal at that parameter setting. We describe a O(mn logn)-time algorithm for inverse global alignment without gap penalties and a O(mn login) time algorithm for global alignment with gap penalties, where m, n (n[Less than or equal to symbol]m) are the lengths of input strings. Finally, we discuss the local alignment problem and future work
Recall from previous lecture we can find the alignment between two DNA sequences by either performin...
Alignment of sequences is widely used for biological sequence comparisons, and only biological even...
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...
Abstract. For as long as biologists have been computing alignments of sequences, the question of wha...
For as long as biologists have been computing alignments of sequences, the question of what values t...
Abstract. When aligning biological sequences, the choice of parameter values for the alignment scori...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
AbstractA dynamic programming algorithm to find an optimal alignment for a pair of DNA sequences has...
AbstractWe consider the problem of computing a global alignment between two or more sequences subjec...
Motivation: Homologous sequences are sometimes similar over some regions but different over other re...
Motivation: Computing the similarity between two ordered trees has applications in RNA secondary str...
International audienceWe define a novel variation on the constrained sequence alignment problem in w...
Sequence local alignment is to find two subsequences from the input two sequences respectively, whic...
AbstractWe consider the alignment problem where sequences may have masked regions. The bases in mask...
Recall from previous lecture we can find the alignment between two DNA sequences by either performin...
Alignment of sequences is widely used for biological sequence comparisons, and only biological even...
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...
Abstract. For as long as biologists have been computing alignments of sequences, the question of wha...
For as long as biologists have been computing alignments of sequences, the question of what values t...
Abstract. When aligning biological sequences, the choice of parameter values for the alignment scori...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
AbstractA dynamic programming algorithm to find an optimal alignment for a pair of DNA sequences has...
AbstractWe consider the problem of computing a global alignment between two or more sequences subjec...
Motivation: Homologous sequences are sometimes similar over some regions but different over other re...
Motivation: Computing the similarity between two ordered trees has applications in RNA secondary str...
International audienceWe define a novel variation on the constrained sequence alignment problem in w...
Sequence local alignment is to find two subsequences from the input two sequences respectively, whic...
AbstractWe consider the alignment problem where sequences may have masked regions. The bases in mask...
Recall from previous lecture we can find the alignment between two DNA sequences by either performin...
Alignment of sequences is widely used for biological sequence comparisons, and only biological even...
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...