Add to ORKGThis paper presents a parallel algorithm for solving the edit distance problem. The edit distance represents a similarity of two strings and the dynamic programming approach is a general paradigm to compute an edit distance. There exists an efficient method of parallel computation which is based on bit-operations, however the computation in this method is very complex. In this paper, a simple parallel-algorithm for a single processor is proposed. Moreover, our algorithm can be applied to the alignment problem
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Edit distance is the most widely used method to quantify similarity between two strings. We investig...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Abstract. In this paper we present a parallel wavefront algorithm for computing an alignment between...
In this paper we present a parallel wavefront algorithm for computing an alignment between two strin...
Computing the Edit Distance between two strings is one of the most fundamental problems in computer ...
The edit distance between strings A and B is defined as the minimum number of edit operations neede...
International audienceThis paper introduces a new linear systolic algorithm [10] for the sequence al...
The edit distance is the measure that quantifies the difference between two strings. It is an import...
The edit distance between two strings S and R is defined to be the minimum number of character inser...
paper we prER9 t a coar6E grE$ ed parRXEA algor7 hm for solving the str ng edit distance p r blem fo...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
Given two strings $A[1..n]$ and $B[1..m]$, and a set of operations allowed to edit the strings, the ...
Abstract. Mapping of next-generation sequencing data and other pro-cessor-intensive sequence compari...
The approximate string matching is useful in a wide area of applications such as biology. A practica...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Edit distance is the most widely used method to quantify similarity between two strings. We investig...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Abstract. In this paper we present a parallel wavefront algorithm for computing an alignment between...
In this paper we present a parallel wavefront algorithm for computing an alignment between two strin...
Computing the Edit Distance between two strings is one of the most fundamental problems in computer ...
The edit distance between strings A and B is defined as the minimum number of edit operations neede...
International audienceThis paper introduces a new linear systolic algorithm [10] for the sequence al...
The edit distance is the measure that quantifies the difference between two strings. It is an import...
The edit distance between two strings S and R is defined to be the minimum number of character inser...
paper we prER9 t a coar6E grE$ ed parRXEA algor7 hm for solving the str ng edit distance p r blem fo...
We describe a way to compute the edit distance of two strings without having to fill the whole dynam...
Given two strings $A[1..n]$ and $B[1..m]$, and a set of operations allowed to edit the strings, the ...
Abstract. Mapping of next-generation sequencing data and other pro-cessor-intensive sequence compari...
The approximate string matching is useful in a wide area of applications such as biology. A practica...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...
Edit distance is the most widely used method to quantify similarity between two strings. We investig...
This thesis deals with sequence alignment algorithms. The sequence alignment is a mutual arrange of ...