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Figure 4 | BMC Bioinformatics

Figure 4

From: AutoFACT: An Auto matic F unctional A nnotation and C lassification T ool

Figure 4

Distribution of informative versus uninformative annotations. A. castellanii ESTs (5,130 clusters) were annotated in three ways: (A) by top BLAST hit to NCBI's nr database; (B) by top BLAST hit to UniProt's UniRef90 database; and (C) by AutoFACT. The "uninformative rule" (Andrade et al., 1999) was used to query description lines assigned by all methods. AutoFACT yields an ~50% increase in informative annotations compared to top BLAST hits against NCBI's nr and the UniRef90 databases. AutoFACT's annotation source is shown in parentheses ().

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