GPRM: a genetic programming approach to finding common RNA secondary structure elements

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  author =       "Yuh-Jyh Hu",
  title =        "GPRM: a genetic programming approach to finding common
                 RNA secondary structure elements",
  journal =      "Nucleic Acids Research",
  year =         "2003",
  volume =       "31",
  number =       "13",
  pages =        "3446--3449",
  month =        "1 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1093/nar/gkg521",
  size =         "4 pages",
  abstract =     "RNA molecules play an important role in many
                 biological activities. Knowing its secondary structure
                 can help us better understand the molecule's ability to
                 function. The methods for RNA structure determination
                 have traditionally been implemented through
                 biochemical, biophysical and phylogenetic analyses. As
                 the advance of computer technology, an increasing
                 number of computational approaches have recently been
                 developed. They have different goals and apply various
                 algorithms. For example, some focus on secondary
                 structure prediction for a single sequence; some aim at
                 finding a global alignment of multiple sequences. Some
                 predict the structure based on free energy
                 minimisation; some make comparative sequence analyses
                 to determine the structure. In this paper, we describe
                 how to correctly use GPRM, a genetic programming
                 approach to finding common secondary structure elements
                 in a set of unaligned coregulated or homologous RNA
  notes =        "GPRM can be accessed at
                 and Information Science Department, National Chiao Tung
                 University, 1001 Ta Hsueh Rd, Hsinchu, Taiwan

                 *Tel: +886 35731795; Fax: +886 35721490; Email:

                 PMID: 12824343

                 Cited by \cite{Kawaguchi:2005:NAR}",

Genetic Programming entries for Yuh-Jyh Hu