ArticleBioinformatics (Oxford, England)2018
MARDy: Mycology Antifungal Resistance Database.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The trial behind it
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Who cites it
31 citing papers in PubMed.
- Towards accurate genomic detection of fungal antimicrobial resistance: progress in fungal resistance databases and bioinformatic tools.Microbial genomics · 2026Review
- Soil Reservoirs of Antifungal-Resistant Fungi: Implications for Plant Disease Management with a Focus onMicroorganisms · 2026Review
- First draft genome sequence ofMicrobiology resource announcements · 2026Article
- Molecular Identification and RNA-Based Management of Fungal Plant Pathogens: From PCR to CRISPR/Cas9.International journal of molecular sciences · 2026Review
- DRESIS 2.0: the comprehensive landscape of drug resistance information.Nucleic acids research · 2026Article
- Unravelling azole resistance in fungal pathogens: molecular mechanisms, diagnostic challenges, and therapeutic strategies.World journal of microbiology & biotechnology · 2025Review
- FungAMR: a comprehensive database for investigating fungal mutations associated with antimicrobial resistance.Nature microbiology · 2025Article
- Aspergillus fumigatus mitogenomes and their influence on azole-resistant and -susceptible populations.npj antimicrobials and resistance · 2025Article
- Nanopore sequencing and hybrid assembly: unraveling the genomic landscape of dollar spot with enhanced annotation and drug resistance profiling.Frontiers in fungal biology · 2025Article
- Diagnosis and management of invasive fungal diseases by next-generation sequencing: are we there yet?Expert review of molecular diagnostics · 2024Review
- Comparative Genomic Analysis of anPolish journal of microbiology · 2024Article
- Most azole resistance mutations in the Candida albicans drug target confer cross-resistance without intrinsic fitness cost.Nature microbiology · 2024Article
- A Cluster of Diutina catenulata Funguria in Patients with Coronavirus Disease 2019 (COVID-19) Hospitalized in a Tertiary Reference Hospital from Rio de Janeiro, Brazil.Current microbiology · 2024Article
- New approaches to tackle a rising problem: Large-scale methods to study antifungal resistance.PLoS pathogens · 2024Review
- Genome sequence data ofData in brief · 2024Article
- ResFungi: A Novel Protein Database of Antifungal Drug Resistance Genes Using a Hidden Markov Model Profile.ACS omega · 2024Article
- Identification of Molecular and Genetic Resistance Mechanisms in a Candida auris Isolate in a Tertiary Care Center in Türkiye.Mycopathologia · 2023Article
- AFRbase: a database of protein mutations responsible for antifungal resistance.Bioinformatics (Oxford, England) · 2023Article
- Ten simple rules for the sharing of bacterial genotype-Phenotype data on antimicrobial resistance.PLoS computational biology · 2023Article
- DRESIS: the first comprehensive landscape of drug resistance information.Nucleic acids research · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.