4.7 Article

Visual Analysis of DNA Microarray Data for Accurate Molecular Identification of Non-albicans Candida Isolates from Patients with Candidemia Episodes

Journal

JOURNAL OF CLINICAL MICROBIOLOGY
Volume 51, Issue 11, Pages 3826-3829

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/JCM.01050-13

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Funding

  1. JST (Japan Science and Technology Agency)/JICA (Japan International Cooperation Agency) [02P-29548-05]
  2. SATREPS (Science and Technology Research Partnership for Sustainable Development)
  3. Faculty of Medical Sciences, State University of Campinas-UNICAMP
  4. Sao Paulo Research Foundation (FAPESP)
  5. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (Sao Paulo Research Foundation) [FAPESP 2010/50958 8]
  6. Grants-in-Aid for Scientific Research [25305012] Funding Source: KAKEN

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The performance of a visual slide-based DNA microarray for the identification of non-albicans Candida spp. was evaluated. Among 167 isolates that had previously been identified by Vitek 2, the agreement between DNA microarray and sequencing results was 97.6%. This DNA microarray platform showed excellent performance.

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