• DocumentCode
    3400158
  • Title

    Soundness and quality of semantic retrieval in DNA-based memories with abiotic data

  • Author

    Neel, Andrew ; Garzon, Max ; Penumatsa, Phani

  • Author_Institution
    Dept. of Comput. Sci., Memphis Univ., TN, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    1889
  • Abstract
    Associative memories based on DNA-affinity have been proposed based in L. M. Adleman (1994) and E. Baum (1995). Previously, we have quantified the quality of retrieval of genomic information in simulation as stated in M. Garzon et al. (2003). Here, the ability of two types of DNA-based memories to store abiotic data and retrieve semantic information is evaluated for soundness and compared to state-of-the-art symbolic methods available, such as LSA (latent semantic analysis) of T. K. Landauer et al. Their ability is poor when performed without a proper compaction procedure. However, when the corpus is summarized through a selection protocol based on PCR or a training procedure on J. Chen et al. (2004) to extract useful information, their performance is much closer to that of LSA, according to human expert ratings. These results are expected to improve and scale up when actual DNA molecules are employed in real test tubes, currently a feasible goal.
  • Keywords
    associative processing; biocomputing; content-addressable storage; information retrieval; DNA-affinity; DNA-based memories; abiotic data; associative memories; genomic information; latent semantic analysis; selection protocol; semantic retrieval; symbolic methods; training procedure; Associative memory; Bioinformatics; Compaction; DNA; Data mining; Genomics; Humans; Information analysis; Information retrieval; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1331126
  • Filename
    1331126