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In Silico Infection of the Human Genome

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7246))

Abstract

The human genetic sequence database contains DNA sequences very like those of mycoplasma bacteria. It appears such bacteria infect not only molecular Biology laboratories but their genes were picked up from contaminated samples and inserted into GenBank as if they were homo sapiens. At least one mouldy EST (Expressed Sequence Tag) has transferred from online public databases on the Internet to commercial tools (Affymetrix HG-U133 plus 2.0 microarrays). We report a second example (DA466599) and suggest there is a need to clean up genomic databases but fear current tools will be inadequate to catch genes which have jumped the silicon barrier.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University College, London, Gower Street, WC1E 6BT, UK

    W. B. Langdon & M. J. Arno

Authors
  1. W. B. Langdon
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  2. M. J. Arno
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, (TO), Italy

    Mario Giacobini

  2. Universidade Nove de Lisboa, ISEGI, 1070-312 Lisboa, Portugal and University of Milano-Bicocca, D.I.S.Co., Viale Sarca 336, 20126 Milan, Italy

    Leonardo Vanneschi

  3. Center for Human Genetics Research, Department of Biomedical Informatics, Vanderbilt University, 519 Light Hall, 37232, Nashville, TN, USA

    William S. Bush

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© 2012 Springer-Verlag Berlin Heidelberg

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Langdon, W.B., Arno, M.J. (2012). In Silico Infection of the Human Genome. In: Giacobini, M., Vanneschi, L., Bush, W.S. (eds) Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. EvoBIO 2012. Lecture Notes in Computer Science, vol 7246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29066-4_22

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  • DOI: https://doi.org/10.1007/978-3-642-29066-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29065-7

  • Online ISBN: 978-3-642-29066-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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