Using provenance to manage knowledge of In Silico experiments

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    Abstract

    This article offers a briefing in one of the knowledge management issues of in silicoexperimentation in bioinformatics. Recording of the provenance of an experiment - what was done; where, how and why, etc. is an important aspect of scientific best practice that should be extended to in silico experimentation. We will do this in the context of eScience which has been part of the move of bioinformatics towards an industrial setting. Despite the computational nature of bioinformatics, these analyses are scientific and thus necessitate their own versions of typical scientific rigour. Just as recording who, what, why, when, where and how of an experiment is central to the scientific process in laboratory science, so it should be in silico science. The generation and recording of these aspects, or provenance, of an experiment are necessary knowledge management goals if we are to introduce scientific rigour into routine bioinformatics. In Silico experimental protocols should themselves be a form of managing the knowledge of how to perform bioinformatics analyses. Several systems now exist that offer support for the generation and collection of provenance information about how a particular in silico experiment was run, what results were generated, how they were generated, etc. In reviewing provenance support, we will review one of the important knowledge management issues in bioinformatics. © The Author 2007. Published by Oxford University Press.
    Original languageEnglish
    Pages (from-to)183-194
    Number of pages11
    JournalBriefings in Bioinformatics
    Volume8
    Issue number3
    DOIs
    Publication statusPublished - May 2007

    Keywords

    • Data derivation
    • In Silico experiments
    • Provenance
    • Validation and verification of results
    • Workflow

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