Title |
A speedup technique for (l, d)-motif finding algorithms
|
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Published in |
BMC Research Notes, March 2011
|
DOI | 10.1186/1756-0500-4-54 |
Pubmed ID | |
Authors |
Sanguthevar Rajasekaran, Hieu Dinh |
Abstract |
The discovery of patterns in DNA, RNA, and protein sequences has led to the solution of many vital biological problems. For instance, the identification of patterns in nucleic acid sequences has resulted in the determination of open reading frames, identification of promoter elements of genes, identification of intron/exon splicing sites, identification of SH RNAs, location of RNA degradation signals, identification of alternative splicing sites, etc. In protein sequences, patterns have proven to be extremely helpful in domain identification, location of protease cleavage sites, identification of signal peptides, protein interactions, determination of protein degradation elements, identification of protein trafficking elements, etc. Motifs are important patterns that are helpful in finding transcriptional regulatory elements, transcription factor binding sites, functional genomics, drug design, etc. As a result, numerous papers have been written to solve the motif search problem. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Iraq | 1 | 5% |
India | 1 | 5% |
Unknown | 19 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 29% |
Student > Doctoral Student | 3 | 14% |
Student > Postgraduate | 3 | 14% |
Student > Master | 2 | 10% |
Professor | 2 | 10% |
Other | 3 | 14% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 67% |
Biochemistry, Genetics and Molecular Biology | 3 | 14% |
Agricultural and Biological Sciences | 1 | 5% |
Unknown | 3 | 14% |