Common structural motif identification in genomic sequences
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- @InProceedings{Preeja:2012:ICDSE,
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author = "V. Preeja and K. A. {Abdul Nazeer} and
S. S. {Vinod Chandra}",
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booktitle = "Data Science Engineering (ICDSE), 2012 International
Conference on",
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title = "Common structural motif identification in genomic
sequences",
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year = "2012",
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pages = "37--41",
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DOI = "doi:10.1109/ICDSE.2012.6282301",
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size = "5 pages",
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abstract = "Identification of structural and sequence motifs in
genomic sequences is gaining much attention now a days.
Ribonucleic acid or RNA is one of the important
biomolecule whose secondary structure defines its
functionality. Soft computing techniques like genetic
programming have been used for motif identification. In
this paper, we propose a method for identifying common
structural motifs in a set of RNA sequences by particle
swarm optimisation technique. The common motif
identification finds its application in drug design. To
prove the correctness of our approach, we tested it on
data sets previously used to find common structural
motif using genetic programming approaches. Several
experiments were conducted using Signal Recognition
Particle (SRP), Ferritin Iron Response Element (IRE)
and microRNA sequences. Our results are comparable to
the latest genetic programming approach. Some of the
results indicate that our method out performs to most
of the genetic programming approaches.",
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keywords = "genetic algorithms, genetic programming, RNA, drugs,
genomics, particle swarm optimisation, IRE, SRP, common
structural motif identification, drug design, ferritin
iron response element, genetic programming approach,
genomic sequences, microRNA sequences, particle swarm
optimisation technique, ribonucleic acid, sequence
motif identification, signal recognition particle, soft
computing techniques, Iron, Optimisation, Particle
swarm optimisation, RNA, Skeleton",
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notes = "Also known as \cite{6282301}",
- }
Genetic Programming entries for
V Preeja
K A Abdul Nazeer
S S Vinod Chandra
Citations