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Bacteria and fungi were identified using standard methods [ 20].
Plant and fungi were identified using keys [ 40, 41] but most were subsequently pooled into broad taxonomic categories due to the variety encountered and time constraints.
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The orthologous genes from the lichen-forming fungus E. pusillum and 14 other non lichen-forming fungi whose genomes were available were identified using Inparanoid [ 30] with default parameters.
The Carbohydrate-active enzymes (CAZymes) related to pectin degradation of the twelve fungi tested in this study were identified using the CAZy annotation pipeline [ 28] and compared to each other (Table 2).
The single-copy core genes of those four fungi and the outgroup species (Aspergillus nidulans) were identified using OrthoMCL [ 37].
Repeats and transposable elements were identified using RepeatMasker on S. sclerotiorum 1980 supercontigs with the cross_match method at slow speed and "Fungi" as a DNA source.
Between 1999 and 2007, patients were identified using the database of each hospital and the keywords: (rheumatoid arthritis or spondylarthropathy) AND (aspergilloma or fungus ball).
In recent years, ncRNAs have been identified using experimental methods and computational predictions in several fungi [ 3, 4, 17- 22].
An initial ortholog set was identified using the proteomes of Danio rerio, Saccharomyces cerevisiae and Arabidopsis thaliana as representatives of plants, animals and fungi, respectively.
MAP3K7 was identified using GO.
Yeast-form fungi were identified according to conventional biochemical laboratory methods by the VITEK 2 system using YST-ID.
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