Now showing items 1-4 of 4

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      Mahony, Shaun; McInerney, James O; Smith, Terry J; Golden, Aaron (Springer Nature, 2004-01-01)
      Background: Many current gene prediction methods use only one model to represent protein-coding regions in a genome, and so are less likely to predict the location of genes that have an atypical sequence composition. It ...
    • Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models 

      McInerney, James O; Smith, Terry; Mahony, Shaun; Golden, Aaron (BioMed Central, 2005-03-05)
      Background: Many current gene prediction methods use only one model to represent protein-coding regions in a genome, and so are less likely to predict the location of genes that have an atypical sequence composition. It ...
    • Reconstructing an ancestral mammalian immune supercomplex from a marsupial major histocompatibility complex 

      Belov, Katherine; Deakin, Janine E; Papenfuss, Anthony T; Baker, Michelle L; Melman, Sandra D; Siddle, Hannah V; Gouin, Nicolas; Goode, David L; Sargeant, Tobias J; Robinson, Mark D; Wakefield, Matthew J; Mahony, Shaun; Cross, Joseph G. R; Benos, Panayiotis V; Samollow, Paul B; Speed, Terence P; Graves, Jennifer A. Marshall; Miller, Robert D (Public Library of Science (PLoS), 2006-01-31)
      The first sequenced marsupial genome promises to reveal unparalleled insights into mammalian evolution. We have used the Monodelphis domestica (gray short-tailed opossum) sequence to construct the first map of a marsupial ...
    • Transcription factor binding site identification using the Self-Organizing Map 

      Mahony, Shaun; Hendrix, David; Golden, Aaron; Smith, Terry (Oxford Open Journals, 2005-05-01)
      Motivation: The automatic identification of over-represented motifs present in a collection of sequences continues to be a challenging problem in computational biology. In this paper, we propose a self-organizing map of ...