Sequence motifs occurring in a particular order in proteins or DNA have been proved to be of biological interest. In this paper, a new method to locate the occurrences of up to five user-defined motifs in a specified order in large proteins and in nucleotide sequence databases is proposed. It has been designed using the concept of quantifiers in regular expressions and linked lists for data storage. The application of this method includes the extraction of relevant consensus regions from biological sequences. This might be useful in clustering of protein families as well as to study the correlation between positions of motifs and their functional sites in DNA sequences
AbstractBioinformatics is the application of computer technology to the management of biological inf...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
Algorithmic comparison of DNA sequence motifs is a problem in bioinformatics that has received incre...
Sequence motifs occurring in a particular order in proteins or DNA have been proved to be of biologi...
The identification of sequence (amino acids or nucleotides) motifs in a particular order in biolog...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
Protein sequence motifs are short conserved subsequences common to related protein sequences. Inform...
Biological motifs are defined as overly recurring sub-patterns in biological systems. Sequence motif...
The problem of multiple global comparison in families of biological sequences has been well-studied....
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
A RNA or DNA sequence motif is a short sequence found within a particular nucleic acid sequence fami...
A huge number of genomic information, including protein and DNA sequences, is generated by the human...
This chapter provides a characterization of motifs with character classes, following with the notion...
Abstract: We address the problem of detecting consensus motifs, that occur with subtle variations, a...
Deoxyribonucleic acid (DNA) motif finding (discovery/mining) in biological chains is the most recent...
AbstractBioinformatics is the application of computer technology to the management of biological inf...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
Algorithmic comparison of DNA sequence motifs is a problem in bioinformatics that has received incre...
Sequence motifs occurring in a particular order in proteins or DNA have been proved to be of biologi...
The identification of sequence (amino acids or nucleotides) motifs in a particular order in biolog...
A significant growth in the volume of bio-molecular sequence data (DNA, RNA and protein sequences) o...
Protein sequence motifs are short conserved subsequences common to related protein sequences. Inform...
Biological motifs are defined as overly recurring sub-patterns in biological systems. Sequence motif...
The problem of multiple global comparison in families of biological sequences has been well-studied....
This master thesis is a Ph.D. research plan for motif discovery in biological sequences, and consist...
A RNA or DNA sequence motif is a short sequence found within a particular nucleic acid sequence fami...
A huge number of genomic information, including protein and DNA sequences, is generated by the human...
This chapter provides a characterization of motifs with character classes, following with the notion...
Abstract: We address the problem of detecting consensus motifs, that occur with subtle variations, a...
Deoxyribonucleic acid (DNA) motif finding (discovery/mining) in biological chains is the most recent...
AbstractBioinformatics is the application of computer technology to the management of biological inf...
The problem of detecting DNA motifs with functional relevance in real biological sequences is diffic...
Algorithmic comparison of DNA sequence motifs is a problem in bioinformatics that has received incre...