MALDI-TOF MS-Based Identification of Melanized Fungi is Faster and Reliable After the Expansion of In-House Database.

Paul, Saikat; Singh, Pankaj; Sharma, Savitri; Prasad, Gandham Satyanarayana; Rudramurthy, Shivaprakash Mandya; Chakrabarti, Arunaloke; Ghosh, Anup K

Paul, Saikat; Singh, Pankaj; Sharma, Savitri; Prasad, Gandham Satyanarayana; Rudramurthy, Shivaprakash Mandya; Chakrabarti, Arunaloke; Ghosh, Anup K.

Affiliation

Paul S; Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Singh P; Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Sharma S; Jhaveri Microbiology Centre, Brien Holden Eye Research Centre, L V Prasad Eye Institute, Hyderabad, India.
Prasad GS; Institute of Microbial Technology, Chandigarh, India.
Rudramurthy SM; Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chakrabarti A; Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ghosh AK; Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Proteomics Clin Appl ; 13(3): e1800070, 2019 05.

Article in En | MEDLINE | ID: mdl-30141266

Subject(s)
Key words

MALDI-TOF MS; main spectra profile; melanized fungi

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Fungi / Melanins Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Proteomics Clin Appl Journal subject: BIOQUIMICA Year: 2019 Document type: Article Affiliation country: India Country of publication: Alemania

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