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

Michela Ferrari | Zendy; Mariângela Ribeiro Resende | Zendy; Kanae Sakai | Zendy; Yasunori Muraosa | Zendy; Luzia Lyra | Zendy; Tohru Gonoi | Zendy; Yuzuru Mikami | Zendy; Kenichiro Tominaga | Zendy; Katsuhiko Kamei | Zendy; Angélica Zaninelli Schreiber | Zendy; Plı́nio Trabasso | Zendy; Maria Luíza Moretti | Zendy

Open Access

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

Author(s) -

Michela Ferrari,

Mariângela Ribeiro Resende,

Kanae Sakai,

Yasunori Muraosa,

Luzia Lyra,

Tohru Gonoi,

Yuzuru Mikami,

Kenichiro Tominaga,

Katsuhiko Kamei,

Angélica Zaninelli Schreiber,

Plı́nio Trabasso,

Maria Luíza Moretti

Publication year - 2013

Publication title -

journal of clinical microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.349

H-Index - 255

eISSN - 1070-633X

pISSN - 0095-1137

DOI - 10.1128/jcm.01050-13

Subject(s) - candida albicans , microarray , biology , microarray analysis techniques , dna microarray , identification (biology) , gene chip analysis , dna sequencing , corpus albicans , microbiology and biotechnology , dna , computational biology , genetics , gene , gene expression , botany

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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