AbstractThe advancement in the sequencing technology has led to exponential increase in the biological sequence data. Therefore the need for methods and techniques that analyze this sequence data are in demand. A central task in analysis of this data is sequence alignment. In this work, we present a new multiple sequence alignment method for analyzing the similarity/homology existing in the promoter sequences. We extract the motif pair feature from the binarized position specific motif matrix (PSMM) of each promoter pair or sets. We then compare the count of motif pairs between the promoter sequences to find the similarity. The efficacy of the proposed method is tested on two datasets obtained from NCBI. The results obtained agree with our ...
With the addition of more data in the field of proteomics, the computational methods need to be more...
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Departm...
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Departm...
The advancement in the sequencing technology has led to exponential increase in the biological seque...
Current progress in genome research projects has generated huge amount of data. As a result, the ana...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Multiple sequence alignment is a broadly used methodology in biological applications. It is expected...
[[abstract]]Multiple sequence alignment is a broadly used methodology in biological applications. It...
Multiple sequence alignment is a broadly used methodology in biological applications. It is expected...
With the rapid development of genome sequencing, an ever-increasing number of molecular biology anal...
With the addition of more data in the field of proteomics, the computational methods need to be more...
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Departm...
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Departm...
The advancement in the sequencing technology has led to exponential increase in the biological seque...
Current progress in genome research projects has generated huge amount of data. As a result, the ana...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Sequence similarity alignment is a basic information processing method in bioinformatics. It is very...
Multiple sequence alignment is a broadly used methodology in biological applications. It is expected...
[[abstract]]Multiple sequence alignment is a broadly used methodology in biological applications. It...
Multiple sequence alignment is a broadly used methodology in biological applications. It is expected...
With the rapid development of genome sequencing, an ever-increasing number of molecular biology anal...
With the addition of more data in the field of proteomics, the computational methods need to be more...
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Departm...
Title: Multiple sequence alignment using genetic algorithms Author: Zdeněk Pátek Department: Departm...