Filters are fast algorithms, which help to preprocess DNA sequences in order to reduce the time and complexity of approximate motif search. Multiple filtering methods exist, and this paper classifies the filtering algorithms based on their approach, numerical analysis or digital signal processing, and it briefly reviews both classes of filters. The paper also reflects on filters currently used in popular software for genomic processing
This thesis presents work in one of the main research areas in Computational Biology: computational...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
144 p.This report describes the work done in exploring Signal Processing techniques for Genomics com...
Filters are fast algorithms, which help to preprocess DNA sequences in order to reduce the time and ...
Generic programming depends on the decomposition of programs into simpler components which may be de...
There is a huge amount of Biological data available because of the Genome Projects. It is challengin...
DNA sequence similarity search is an important task in computational biology applications. Similarit...
The theory and methods of signal processing are becoming increasingly important in molecular biology...
The need for automating genome analysis is a result of the tremendous amount of genomic data. As of ...
A biomolecular object, such as a deoxyribonucleic acid (DNA), a ribonucleic acid (RNA) or a protein ...
The sequencing of the Human Reference Genome, with Human Genome Project announced ten years ago, pro...
The comparison of DNA sequences is a traditional problem in genomics and bioinformatics. Many new op...
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this tas...
In this paper we consider the properties of the most popular algorithms for genomic similarity sea...
Through the study of genomic sequences, researchers are able to learn much about the workings of lif...
This thesis presents work in one of the main research areas in Computational Biology: computational...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
144 p.This report describes the work done in exploring Signal Processing techniques for Genomics com...
Filters are fast algorithms, which help to preprocess DNA sequences in order to reduce the time and ...
Generic programming depends on the decomposition of programs into simpler components which may be de...
There is a huge amount of Biological data available because of the Genome Projects. It is challengin...
DNA sequence similarity search is an important task in computational biology applications. Similarit...
The theory and methods of signal processing are becoming increasingly important in molecular biology...
The need for automating genome analysis is a result of the tremendous amount of genomic data. As of ...
A biomolecular object, such as a deoxyribonucleic acid (DNA), a ribonucleic acid (RNA) or a protein ...
The sequencing of the Human Reference Genome, with Human Genome Project announced ten years ago, pro...
The comparison of DNA sequences is a traditional problem in genomics and bioinformatics. Many new op...
Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this tas...
In this paper we consider the properties of the most popular algorithms for genomic similarity sea...
Through the study of genomic sequences, researchers are able to learn much about the workings of lif...
This thesis presents work in one of the main research areas in Computational Biology: computational...
As a result of the human genome project and advancements in DNA sequencing technology, we can utiliz...
144 p.This report describes the work done in exploring Signal Processing techniques for Genomics com...