There are a few algorithms designed to solve the problem of the optimal alignment of one sequence, the pattern, of length m, with another, longer sequence the text, of length n These algorithms allow mismatches, deletions and insertions. Algorithms to date run in 0(mn) time. Let us define an integer. k, which is the maximal number of differences allowed We present a simple algorithm showing that sequences can be optimally aligned in 0{kzn) time. For long sequences the gain factor over the currently used algorithms is very large. 1
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Approximate string matching is commonly used to align genetic sequences (DNA or RNA) to determine th...
More than 120 algorithms have been developed for exact string matching within the last 40 years. We ...
The pattern matching is a well known and important task of the pattern discovery process in today’s ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...
In this paper we present an algorithm which attempts to align pairs of subsequences from a database ...
International audienceWe define a novel variation on the constrained sequence alignment problem in w...
Sequence alignment is an important tool for describing relationships between sequences. Many sequenc...
This paper presents an O(mn log n) time algorithm for an approximate string matching problem, in whi...
This paper describes sequence alignment algorithms of nucleotide sequences. There are described pair...
String matching algorithms are the algorithms used to search through different types of text in sear...
Abslract- DNA matching is an important key to understanding genomes, evolution, relationships betwee...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Approximate string matching is commonly used to align genetic sequences (DNA or RNA) to determine th...
More than 120 algorithms have been developed for exact string matching within the last 40 years. We ...
The pattern matching is a well known and important task of the pattern discovery process in today’s ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...
Abstract. The Local Alignment problem is a classical problem with ap-plications in biology. Given tw...
In this paper we present an algorithm which attempts to align pairs of subsequences from a database ...
International audienceWe define a novel variation on the constrained sequence alignment problem in w...
Sequence alignment is an important tool for describing relationships between sequences. Many sequenc...
This paper presents an O(mn log n) time algorithm for an approximate string matching problem, in whi...
This paper describes sequence alignment algorithms of nucleotide sequences. There are described pair...
String matching algorithms are the algorithms used to search through different types of text in sear...
Abslract- DNA matching is an important key to understanding genomes, evolution, relationships betwee...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
Approximate string matching is commonly used to align genetic sequences (DNA or RNA) to determine th...
More than 120 algorithms have been developed for exact string matching within the last 40 years. We ...