Add to ORKGIn this paper we consider the properties of the most popular algorithms for genomic similarity search. All these methods use some type of heuristics to improve the speed of search that has negative impact upon the accuracy. Some of these methods split the content into small pieces of data, some of them use hashing, while some of them utilize the computational benefits of suffix tree. In many cases the output depends of the user-provided parameters that define the sensitivity and the range of search
First of all, this thesis sets itself a goal to introduce some common technics for datamining in gen...
In this work, a comparative analysis of the similarity check mechanism used in the most effective al...
Similarity searches are a powerful method for solving important biological problems such as database...
DNA sequence similarity search is an important task in computational biology applications. Similarit...
AbstractLarge-scale comparison of genomic DNA is of fundamental importance in annotating functional ...
Genomics, with the high amount of heterogeneous data that it is generating, is opening many interest...
The primary goal of bioinformatics is to increase an understanding in the biology of organisms. Comp...
In this article, we propose a novel pattern matching algorithm, called BAPM, that performs searching...
International audienceWith genome sequencing projects producing huge amounts of sequence data, datab...
In this paper, we propose Genomic-oriented Rapid Algorithm for String Pattern-match (GRASPm), an alg...
Motivation: Next Generation Sequencing (NGS), with the high amount of heterogeneous data that it is...
Filters are fast algorithms, which help to preprocess DNA sequences in order to reduce the time and ...
The most important property of the Gene Ontology is the terms. These control vocabularies are define...
Most commonly used similarity search methods in genomic sequences are heuristic ones. These are base...
Homology search finds similar segments between two biological sequences, such as DNA or protein sequ...
First of all, this thesis sets itself a goal to introduce some common technics for datamining in gen...
In this work, a comparative analysis of the similarity check mechanism used in the most effective al...
Similarity searches are a powerful method for solving important biological problems such as database...
DNA sequence similarity search is an important task in computational biology applications. Similarit...
AbstractLarge-scale comparison of genomic DNA is of fundamental importance in annotating functional ...
Genomics, with the high amount of heterogeneous data that it is generating, is opening many interest...
The primary goal of bioinformatics is to increase an understanding in the biology of organisms. Comp...
In this article, we propose a novel pattern matching algorithm, called BAPM, that performs searching...
International audienceWith genome sequencing projects producing huge amounts of sequence data, datab...
In this paper, we propose Genomic-oriented Rapid Algorithm for String Pattern-match (GRASPm), an alg...
Motivation: Next Generation Sequencing (NGS), with the high amount of heterogeneous data that it is...
Filters are fast algorithms, which help to preprocess DNA sequences in order to reduce the time and ...
The most important property of the Gene Ontology is the terms. These control vocabularies are define...
Most commonly used similarity search methods in genomic sequences are heuristic ones. These are base...
Homology search finds similar segments between two biological sequences, such as DNA or protein sequ...
First of all, this thesis sets itself a goal to introduce some common technics for datamining in gen...
In this work, a comparative analysis of the similarity check mechanism used in the most effective al...
Similarity searches are a powerful method for solving important biological problems such as database...