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Gene Ontology assignments were used to classify functions of the predicted Sacha Inchi unigenes.
The unigenes sequences were also aligned to the COG database to predict and classify functions.
We used Gene Ontology (GO) to classify functions of the annotated genes.
Gene ontology was performed to classify functions to T. pisana genes.
The unigene sequences were also aligned to the COG database to predict and classify functions.
The unigene sequences were also aligned to the Clusters of Orthologous Groups (COG) database to predict and classify functions.
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We used classify function of the Statistics Toolbox of Matlab (TM) implemented in Matlab R2010b.
Taxonomic classification of reads was then undertaken using the classify function of guppy, a part of the pplacer package.
In this work we will refer to q 1 and q 2 as classifying functions.
Classifying functions were designed and implemented on the basis of information about discrete red and green color values.
In fact, the placement of the attractors is arbitrary and depends on the DES, the phenomena to be modeled and how one defines the classifying function.
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