Ciardo DE Schär G Altwegg M Böttger EC Bosshard PP 2007 Sequence analysis provides a valuable alternative to phenotypic identification of moulds, especially for isolates lacking characteristic morphology. In this comparative prospective study, isolates that could not be identified by standard phenotypic criteria within 5 days (n = 244) were subjected to sequence analysis and further in-depth phenotypic investigations. Comparison of sequence-based with extended phenotypic identification revealed that sequence analysis was more precise in 52.0% of the isolates; in 38.6% of the isolates, both methods gave concordant results. The construction of a database consisting of high-quality sequences allowed improvement of sequence-based identification. Based on these results, we propose a diagnostic algorithm for the effective use of both phenotypic and genetic procedures for identification of moulds in the diagnostic laboratory. https://sonar.ch/global/documents/219396 eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.diagmicrobio.2007.04.020 info:eu-repo/semantics/altIdentifier/pmid/17662553 Diagnostic microbiology and infectious disease. - 2007 Algorithms Database Management Systems Databases, Genetic Fungi Humans Microbiological Techniques Mycoses Phenotype Identification of moulds in the diagnostic laboratory--an algorithm implementing molecular and phenotypic methods. http://purl.org/coar/resource_type/c_6501