This article reviews objections to optimal-matching (OM) algorithms in sequence analysis and reformulates the concept of sequence similarity in terms of a binary precedence relation. This precedence relation is then used to develop a new quantification of sequence similarity. The new measure is used to reanalyze the life history data that were previously discussed by Dijkstra and Taris (1995). The reanalysis demonstrates the new measure to be superior to the OM algorithm and the alternatives proposed by Dijkstra and Taris. A new algorithm is presented to enumerate matching k-tuples from pairs of sequences in polynomial time
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
Sequence analysis has been an increasingly popular tool to find patterns in sociological sequences. ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method for measuring the similarity between pairs of sequences (e.g., wor...
We study the problem of similarity detection by sequence alignment with gaps, using a recently estab...
Abslract- DNA matching is an important key to understanding genomes, evolution, relationships betwee...
The problem of biological sequence comparison arises naturally in an attempt to explain many biologi...
The problem of biological sequence comparison arises naturally in an attempt to explain many biologi...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
Sequence analysis has been an increasingly popular tool to find patterns in sociological sequences. ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method that assesses sequence similarity. It was originally developed to ...
Optimal matching (OM) is a method for measuring the similarity between pairs of sequences (e.g., wor...
We study the problem of similarity detection by sequence alignment with gaps, using a recently estab...
Abslract- DNA matching is an important key to understanding genomes, evolution, relationships betwee...
The problem of biological sequence comparison arises naturally in an attempt to explain many biologi...
The problem of biological sequence comparison arises naturally in an attempt to explain many biologi...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
In this article we discuss optimal matching (OM), an invaluable yet underutilized tool in the analys...
Sequence analysis has been an increasingly popular tool to find patterns in sociological sequences. ...