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Figure 2 | BMC Bioinformatics

Figure 2

From: ELM: enhanced lowest common ancestor based method for detecting a pathogenic virus from a large sequence dataset

Figure 2

Schematic representation of the ELM algorithm. An example of the LCA assigned NGS reads into target viral taxa. The LCA assignment is affected by top percent score filters—that is, the BLAST hits for the similar sequences in the relatives. ELM evaluates this effect on the assignments. Circled A to E represent viral taxa on a taxonomic tree. The reads assigned as the LCA are shown in red. The reads corresponding to the reads assigned to descendant taxa as the LCA are shown in black. The total number of the LCA assigned reads for each taxon and its descendants is denoted as n. Δn indicates the differences in n as varying thresholds of top percent score filters. The reads with strikeouts (blue) are the LCA assignments shifted into the upper taxon.

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