The discovery of motifs in biological sequence is a much explored and still exploring area of research in functional genomics since they control the expression or regulation of a group of genes involved in a similar cellular function. This paper explores the use of data mining techniques by various researchers as a solution to discover motifs in biological sequence. Although data mining techniques has not been applied extensively by researchers as compared to other algorithms. But in recent years data mining techniques has caused a wide attention by the researchers to find motifs in biological sequence. This paper is an attempt towards exploring the effectiveness of data mining techniques for motif discovery
Biology has become a data‐intensive research field. Coping with the flood of data from the new genom...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
this paper is as follows. This introduction is followed in Section 2 by a brief introduction to some...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs ...
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs ...
Biological motifs are defined as overly recurring sub-patterns in biological systems. Sequence motif...
Deoxyribonucleic acid (DNA) motif finding (discovery/mining) in biological chains is the most recent...
We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs ...
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs ...
With the large amount of biological data generated due to DNA sequencing of various organisms, it is...
Abstract: Protein motifs, which are specific regions and conserved regions, are found by comparing m...
Biology has become a data‐intensive research field. Coping with the flood of data from the new genom...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
this paper is as follows. This introduction is followed in Section 2 by a brief introduction to some...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs ...
We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs ...
Biological motifs are defined as overly recurring sub-patterns in biological systems. Sequence motif...
Deoxyribonucleic acid (DNA) motif finding (discovery/mining) in biological chains is the most recent...
We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs ...
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs ...
With the large amount of biological data generated due to DNA sequencing of various organisms, it is...
Abstract: Protein motifs, which are specific regions and conserved regions, are found by comparing m...
Biology has become a data‐intensive research field. Coping with the flood of data from the new genom...
Sequence motif discovery algorithms are an important part of the computational biologists toolkit. T...
this paper is as follows. This introduction is followed in Section 2 by a brief introduction to some...