String edit distances have been used for decades in applications ranging from spelling correction and web search suggestions to DNA analysis. Most string edit distances are variations of the Levenshtein distance and consider only single-character edits. In forensic applications polymorphic genetic markers such as short tandem repeats (STRs) are used. At these repetitive motifs the DNA copying errors consist of more than just single base differences. More often the phenomenon of “stutter” is observed, where the number of repeated units differs (by whole units) from the template. To adapt the Levenshtein distance to be suitable for forensic applications where DNA sequence similarity is of interest, a generalized string edit distance is define...
AbstractIn this paper we examine string block edit distance, in which two strings A and B are compar...
Approximate string matching methods are utilized by a vast number of duplicate detection and cluster...
Edit distance has been widely used in different areas to evaluate the similarity between strings of ...
String edit distances have been used for decades in applications ranging from spelling correction an...
Edit distance measures the similarity between two strings (as the minimum number of change, insert o...
The P-Bigram method is a string comparison methods base on an internal two characters-based similari...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The first step prior to data mining is often to merge databases from different sources. Entries in t...
Abstract Background Edit distance is a well established metric to quantify how dissimilar two string...
Levenshtein is a Minimum Edit Distance method; it is usually used in spell checking applications for...
We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...
Levenshtein distance is well known for its use in comparing two strings for similarity. However, the...
In this paper, we study efficient parallel edit distance algorithms, both in theory and in practice....
We consider the following model for sampling pairs of strings: s? is a uniformly random bitstring of...
AbstractIn this paper we examine string block edit distance, in which two strings A and B are compar...
Approximate string matching methods are utilized by a vast number of duplicate detection and cluster...
Edit distance has been widely used in different areas to evaluate the similarity between strings of ...
String edit distances have been used for decades in applications ranging from spelling correction an...
Edit distance measures the similarity between two strings (as the minimum number of change, insert o...
The P-Bigram method is a string comparison methods base on an internal two characters-based similari...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The first step prior to data mining is often to merge databases from different sources. Entries in t...
Abstract Background Edit distance is a well established metric to quantify how dissimilar two string...
Levenshtein is a Minimum Edit Distance method; it is usually used in spell checking applications for...
We give an efficient protocol for sequence comparisons of the edit-distance kind, such that neither ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...
Levenshtein distance is well known for its use in comparing two strings for similarity. However, the...
In this paper, we study efficient parallel edit distance algorithms, both in theory and in practice....
We consider the following model for sampling pairs of strings: s? is a uniformly random bitstring of...
AbstractIn this paper we examine string block edit distance, in which two strings A and B are compar...
Approximate string matching methods are utilized by a vast number of duplicate detection and cluster...
Edit distance has been widely used in different areas to evaluate the similarity between strings of ...