We investigate the behavior of optimal alignment paths for related and non-related random sequences. An alignment between two finite sequences is optimal if it corresponds to the longest common subsequence (LCS). We prove the exis-tence of lowest and highest optimal alignments and study their differences. High differences between the extremal alignments imply the high variety of all optimal alignments. We present several simulations indicating that the related sequences have typically the distance between the extremal alignments of much smaller size than independent (unrelated) sequences. In particular, the simulations suggest that for the related sequences, the growth of the distance between the extremal align-ments is logarithmical. The m...
An efficient algorithm is described to locate locally optimal alignments between two sequences allow...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
We propose a generating functional method--random path analysis (RPA)--that generalizes the classica...
Lember J, Matzinger H, Vollmer A-L. Optimal alignments of longest common subsequences and their path...
Considering optimal alignments of two i.i.d. random sequences of length n, we show that for Lebesgue...
AbstractThe problem of sequence comparison via optimal alignments occurs naturally in many areas of ...
One of the oustanding open problems at the heart of gapped sequence alignment is the longest common ...
The statistical properties of local alignment algorithms with gaps are analyzed theoretically for uu...
We study the problem of similarity detection by sequence alignment with gaps, using a recently estab...
Consider finite sequences X[1,n] = X1,...,Xn and Y[1,n] = Y1,...,Yn of length n, consisting of i.i.d...
Trace back to obtain an optimal global alignment. Note that, here three such optimal global alignmen...
AbstractAlthough a number of efficient algorithms for the longest common subsequence (LCS) problem h...
The study and comparison of sequences of characters from a finite alphabet is relevant to various ar...
Given two sequences S1, S2 and a constrained sequence C, the longest common subsequence of S1, S2 wi...
AbstractWe consider the problem of computing a global alignment between two or more sequences subjec...
An efficient algorithm is described to locate locally optimal alignments between two sequences allow...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
We propose a generating functional method--random path analysis (RPA)--that generalizes the classica...
Lember J, Matzinger H, Vollmer A-L. Optimal alignments of longest common subsequences and their path...
Considering optimal alignments of two i.i.d. random sequences of length n, we show that for Lebesgue...
AbstractThe problem of sequence comparison via optimal alignments occurs naturally in many areas of ...
One of the oustanding open problems at the heart of gapped sequence alignment is the longest common ...
The statistical properties of local alignment algorithms with gaps are analyzed theoretically for uu...
We study the problem of similarity detection by sequence alignment with gaps, using a recently estab...
Consider finite sequences X[1,n] = X1,...,Xn and Y[1,n] = Y1,...,Yn of length n, consisting of i.i.d...
Trace back to obtain an optimal global alignment. Note that, here three such optimal global alignmen...
AbstractAlthough a number of efficient algorithms for the longest common subsequence (LCS) problem h...
The study and comparison of sequences of characters from a finite alphabet is relevant to various ar...
Given two sequences S1, S2 and a constrained sequence C, the longest common subsequence of S1, S2 wi...
AbstractWe consider the problem of computing a global alignment between two or more sequences subjec...
An efficient algorithm is described to locate locally optimal alignments between two sequences allow...
MOTIVATION: Sequence alignments obtained using affine gap penalties are not always biologically corr...
We propose a generating functional method--random path analysis (RPA)--that generalizes the classica...