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Classification of unique phylotypes was performed via two phylogenetic inference methods: minimum evolutionary distance (ME, Figures 2 10) and maximum parsimony (MP, Figure 1).
Functional classification of unique sequences from S. frugiperda was based on GO [ 15].
The classification of unique sequences conserved across all eukaryotes was defined by at least one similar sequence in each of the fungi, plants and animals.
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The classification of the unique CDS into Clusters of Orthologous Groups (COGs) showed that for two thirds of the unique CDS no function could be assigned (503 of 794 for CS-505 and 237 of 394 for D9).
Functional classification of the unique ESTs identified a broad range of genes involved in different functions.
Sequence similarity and functional classification of these unique gene clusters was also performed.
Next, we did a functional classification of the unique genes found in all four strains (fig. 5 B).
We compared the consensual cluster sequences against SWISS-PROT and GenBank NCBI databases by BLAST algorithms for a functional classification of these unique sequences.
To attempt a functional classification of these unique sequences, we compared the consensual cluster sequences against SWISS-PROT and GenBank NCBI databases by BLAST algorithms.
To attempt a functional classification of these unique sequences, we compared them with proteome databases by blastx and with protein motifs by rpsblast (see Methods).
Therefore, functional classification of the seabass unique sequences based on the annotation results of SwissProt databases by BLASTx program was performed.
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