An efficient algorithm is described to locate locally optimal alignments between two sequences allowing for insertions and deletions. The algorithm is based on that of Smith and Waterman which returns the single best local alignment. However, the algorithm described here permits all non-intersecting locally optimal alignments to be determined in a single pass through the comparison matrix. The algorithm simplifies the location of repeats, multiple domains and shuffled motifs, and is fast enough to be used on a conventional workstation to scan large sequence databanks.</p
Sequence alignment is an important operation in com-putational biology. Both dynamic programming and...
Having found the maximal matches between x and y, we can put some of them together to form a chain. ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
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...
Local Sequence Algignment. The local sequence alignment problem is de-fined as follows: Given two st...
AbstractDynamic programming algorithms to determine similar regions of two sequences are useful for ...
Abstract. Multiple Sequence Alignment (MSA) is one of the most fundamen-tal problems in computationa...
Dynamic programming algorithms to determine similar regions of two sequences are useful for analyzin...
The statistical properties of local alignment algorithms with gaps are analyzed theoretically for uu...
We give a short survey of several pair-wise local and global sequence alignment algorithms, together...
Recall from previous lecture we can find the alignment between two DNA sequences by either performin...
Assume that two sequences from a finite alphabet are optimally aligned according to a scoring system...
Sequence alignment is an important tool for describing relationships between sequences. Many sequenc...
The Smith-Waterman algorithm for local sequence alignment is one of the most important techniques in...
Sequence alignment is an important operation in com-putational biology. Both dynamic programming and...
Having found the maximal matches between x and y, we can put some of them together to form a chain. ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
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...
Local Sequence Algignment. The local sequence alignment problem is de-fined as follows: Given two st...
AbstractDynamic programming algorithms to determine similar regions of two sequences are useful for ...
Abstract. Multiple Sequence Alignment (MSA) is one of the most fundamen-tal problems in computationa...
Dynamic programming algorithms to determine similar regions of two sequences are useful for analyzin...
The statistical properties of local alignment algorithms with gaps are analyzed theoretically for uu...
We give a short survey of several pair-wise local and global sequence alignment algorithms, together...
Recall from previous lecture we can find the alignment between two DNA sequences by either performin...
Assume that two sequences from a finite alphabet are optimally aligned according to a scoring system...
Sequence alignment is an important tool for describing relationships between sequences. Many sequenc...
The Smith-Waterman algorithm for local sequence alignment is one of the most important techniques in...
Sequence alignment is an important operation in com-putational biology. Both dynamic programming and...
Having found the maximal matches between x and y, we can put some of them together to form a chain. ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...