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Review
. 2006 Feb;22(2):84-9.
doi: 10.1016/j.tig.2005.12.001. Epub 2005 Dec 27.

Inferential literacy for experimental high-throughput biology

Mathieu Miron  1 , Robert Nadon
Affiliations
Review

Inferential literacy for experimental high-throughput biology

Mathieu Miron et al. Trends Genet. 2006 Feb.

Abstract

Many biologists believe that data analysis expertise lags behind the capacity for producing high-throughput data. One view within the bioinformatics community is that biological scientists need to develop algorithmic skills to meet the demands of the new technologies. In this article, we argue that the broader concept of inferential literacy, which includes understanding of data characteristics, experimental design and statistical analysis, in addition to computation, more adequately encompasses what is needed for efficient progress in high-throughput biology.

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Comment in

  • MIAME, we have a problem.
    Shields R. Shields R. Trends Genet. 2006 Feb;22(2):65-6. doi: 10.1016/j.tig.2005.12.006. Epub 2005 Dec 27. Trends Genet. 2006. PMID: 16380192 No abstract available.

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