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Fig. 4 | BMC Genomics

Fig. 4

From: RGAugury: a pipeline for genome-wide prediction of resistance gene analogs (RGAs) in plants

Fig. 4

Performance of RGAugury. Forty-nine sequenced plant genomes (Zea mays was excluded, see text) with varying numbers of protein coding genes were used for RGA identification on a server embedded with 40 CPUs. Time to complete the processing of the entire pipeline for each dataset was recorded as a performance measurement. Performance for the ‘Quick’ mode (Pfam + Gene3D databases) and ‘Deep’ mode (Pfam + Gene3D + SMART + Superfamily) were compared. The dots and R 2 value in red represent results for the ‘Quick’ mode and those in red represent the results for the ‘Deep’ mode

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