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MARDy: Mycology Antifungal Resistance Database.
Nash, Anthony; Sewell, Thomas; Farrer, Rhys A; Abdolrasouli, Alireza; Shelton, Jennifer M G; Fisher, Matthew C; Rhodes, Johanna.
Afiliación
  • Nash A; Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
  • Sewell T; MRC Centre for Outbreak Analysis and Modelling, Imperial College London, London, UK.
  • Farrer RA; MRC Centre for Outbreak Analysis and Modelling, Imperial College London, London, UK.
  • Abdolrasouli A; MRC Centre for Outbreak Analysis and Modelling, Imperial College London, London, UK.
  • Shelton JMG; Genome Sequencing and Analysis Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Fisher MC; National Heart and Lung Institute, Imperial College London, London, UK.
  • Rhodes J; Department of Medical Microbiology, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
Bioinformatics ; 34(18): 3233-3234, 2018 09 15.
Article en En | MEDLINE | ID: mdl-29897419
ABSTRACT

Summary:

The increase of antifungal drug resistance is a major global human health concern and threatens agriculture and food security; in order to tackle these concerns, it is important to understand the mechanisms that cause antifungal resistance. The curated Mycology Antifungal Resistance Database (MARDy) is a web-service of antifungal drug resistance mechanisms, including amino acid substitutions, tandem repeat sequences and genome ploidy. MARDy is implemented on a Linux, Apache, MySQL and PHP web development platform and includes a local installation of BLASTn of the database of curated genes. Availability and implementation MARDy can be accessed at http//www.mardy.net and is free to use. The complete database can be retrieved, ordered by organism, gene and drug. Missing or new mycological antifungal resistance data can be relayed to the development team through a contribute entry form. Updates and news will be publicized via a dedicated Twitter feed @MARDYfungi.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacorresistencia Fúngica / Bases de Datos Genéticas / Genes Fúngicos Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Farmacorresistencia Fúngica / Bases de Datos Genéticas / Genes Fúngicos Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido