MARDy: Mycology Antifungal Resistance Database

• DOI: 10.1093/bioinformatics/bty321
• Publication Date: 2018-04-19T11:12:57Z
• Authors: Anthony Nash; Thomas Sewell; Rhys A Farrer; Alireza Abdolrasouli; Jennifer M G Shelton; Matthew C Fisher; Johanna Rhodes
• Keywords: NE/P001165/1; 0301 basic medicine; Technology; Biochemistry & Molecular Biology; Antifungal Agents; Bioinformatics; Statistics & Probability; Genes, Fungal; 610; Mycology; Biochemical Research Methods; 03 medical and health sciences; SDG 3 - Good Health and Well-being; Drug Resistance, Fungal; 615; Databases, Genetic; Humans; Interdisciplinary Applications; Veterinary Sciences; SDG 2 - Zero Hunger; 01 Mathematical Sciences; 2. Zero hunger; 08 Information And Computing Sciences; Internet; Science & Technology; Polymorphism, Genetic; Natural Environment Research Council (NERC); QR Microbiology; 06 Biological Sciences; ASPERGILLUS-FUMIGATUS; Applications Notes; QR; 620; 3. Good health; Infectious Diseases; Biotechnology & Applied Microbiology; Physical Sciences; Computer Science; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; Life Sciences & Biomedicine; Mathematics

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.