AbstractWe consider the problem of computing a global alignment between two or more sequences subject to varying mismatch and indel penalties. We prove a tight 3(n/2π)2/3+O(n1/3logn) bound on the worst-case number of distinct optimum alignments for two sequences of length n as the parameters are varied. This refines a O(n2/3) upper bound by Gusfield et al., answering a question posed by Pevzner and Waterman. Our lower bound requires an unbounded alphabet. For strings over a binary alphabet, we prove a Ω(n1/2) lower bound. For the parametric global alignment of k⩾2 sequences under sum-of-pairs scoring we prove a 3((k2)n/2π)2/3+O(k2/3n1/3logn) upper bound on the number of distinct optimality regions and a Ω(n2/3) lower bound, partially answer...
Abstract. Multiple Sequence Alignment (MSA) is one of the most fundamen-tal problems in computationa...
We consider the problem of separating two distinct classes of k similar sequences of length n over a...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
Consider finite sequences X[1,n] = X1,...,Xn and Y[1,n] = Y1,...,Yn of length n, consisting of i.i.d...
Accepted for publication in Journal of Computational Biology Alignment of sequences is an important ...
We consider the inverse parametric sequence alignment problem, where a sequence alignment is given a...
Trace back to obtain an optimal global alignment. Note that, here three such optimal global alignmen...
We investigate the behavior of optimal alignment paths for related and non-related random sequences....
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...
The study and comparison of sequences of characters from a finite alphabet is relevant to various ar...
Motivation: Homologous sequences are sometimes similar over some regions but different over other re...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
AbstractThis paper analyzes the computational complexity of computing the optimal alignment of a set...
AbstractWe consider the problem of aligning of k sequences of length n. The cost function is sum of ...
[[abstract]]Imposing constraints is a way to incorporate information into the sequence alignment pro...
Abstract. Multiple Sequence Alignment (MSA) is one of the most fundamen-tal problems in computationa...
We consider the problem of separating two distinct classes of k similar sequences of length n over a...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...
Consider finite sequences X[1,n] = X1,...,Xn and Y[1,n] = Y1,...,Yn of length n, consisting of i.i.d...
Accepted for publication in Journal of Computational Biology Alignment of sequences is an important ...
We consider the inverse parametric sequence alignment problem, where a sequence alignment is given a...
Trace back to obtain an optimal global alignment. Note that, here three such optimal global alignmen...
We investigate the behavior of optimal alignment paths for related and non-related random sequences....
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...
The study and comparison of sequences of characters from a finite alphabet is relevant to various ar...
Motivation: Homologous sequences are sometimes similar over some regions but different over other re...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
AbstractThis paper analyzes the computational complexity of computing the optimal alignment of a set...
AbstractWe consider the problem of aligning of k sequences of length n. The cost function is sum of ...
[[abstract]]Imposing constraints is a way to incorporate information into the sequence alignment pro...
Abstract. Multiple Sequence Alignment (MSA) is one of the most fundamen-tal problems in computationa...
We consider the problem of separating two distinct classes of k similar sequences of length n over a...
We present a new machine learning approach to the inverse parametric sequence alignment problem: giv...