• DocumentCode
    1990196
  • Title

    Biostatistical Considerations of the Use of Genomic DNA Reference in Microarrays

  • Author

    Yang, Yunfeng ; Zhu, Michelle M. ; Wu, Liyou ; Zhou, Jizhong

  • Author_Institution
    Oak Ridge Nat. Lab., Oak Ridge
  • fYear
    2007
  • fDate
    14-17 Oct. 2007
  • Firstpage
    593
  • Lastpage
    600
  • Abstract
    Using genomic DNA as common reference in microarray experiments has recently been tested by different laboratories (2, 3, 5, 7, 9, 20, 24-26). While some reported that experimental results of microarrays using genomic DNA reference conformed nicely to those obtained by cDNA: cDNA co-hybridization method, others acquired poor results. We hypothesized that these conflicting reports could be resolved by biostatistical analyses. To test it, microarray experiments were performed in a gamma-proteobacterium Shewanella oneidensis. Pair-wise comparison of three experimental conditions was obtained either by direct cDNA: cDNA co-hybridization, or by indirect calculation through a Shewanella genomic DNA reference. Several major biostatistical techniques were exploited to reduce the amount of inconsistency between both methods and the results were assessed. We discovered that imposing the constraint of minimal number of replicates, logarithmic transformation and random error analyses significantly improved the data quality. These findings could potentially serve as guidelines for microarray data analysis using genomic DNA as reference.
  • Keywords
    DNA; biology computing; cellular biophysics; genetics; microorganisms; molecular biophysics; statistical analysis; biostatistical analyses; cDNA-cDNA cohybridization method; gamma-proteobacterium Shewanella oneidensis; genomic DNA reference; logarithmic transformation; microarrays; random error analysis; Bioinformatics; DNA; Data analysis; Design for experiments; Error analysis; Gene expression; Genomics; Laboratories; RNA; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-1509-0
  • Type

    conf

  • DOI
    10.1109/BIBE.2007.4375621
  • Filename
    4375621