Results of IPGA on different data sets. (A) The performance evaluation

Download scientific diagram | Results of IPGA on different data sets. (A) The performance evaluation on nine different data sets. The height of the bars represents the number of total orthologous gene clusters estimated by each tool, and the colored part represents the number of core genes predicted by each tool. Tools are color‐coded, and the best tool for each data set is marked by an asterisk. (B) The number of shared core gene links among four different softwares. (C) ANI analysis result on data set Capnocytophaga. (D) The pan‐genome profile of all type strains in genus Capnocytophaga. “GL,” “GN,” “GC,” “SN,” and “Compl” represent genome length, gene number, GC content, scaffold number, and genome completeness, respectively. (E) The phylogenetic inference based on the whole genome variation of data set Salmonella. (F) The core gene clusters of nine major cluster of data set Salmonella. ANI, average nucleotide identity; IPGA, Integrated Prokaryotes Genome and pan‐genome Analysis. from publication: IPGA: A handy integrated prokaryotes genome and pan‐genome analysis web service | Pan-genomics is one of the most powerful means to study genomic variation and obtain a sketch of genes within a defined clade of species. Though there are a lot of computational tools to achieve this, an integrated framework to evaluate their performance and offer the best | Web Services, Genome and Comparative Genomics | ResearchGate, the professional network for scientists.

Results of IPGA on different data sets. (A) The performance evaluation

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