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One advantage of using this tool is that it combines redundant GO terms based on the GO structure and gives statistically interpretable enriched GO terms.
A GO term was assigned to each transcript based on the GO annotations for biological process in RAP-DB (The Rice Annotation Project Database [ http://rapdb.dna.affrc.go.jp]).jp]
GO terms were assigned to the assembled transcripts based on the GO terms assigned to their hits in TrEMBL and Swiss-Prot databases [ 84].
Based on the GO annotations for the hit sequences, an annotation score for the candidate GO terms was calculated [34], [35].
Based on the GO annotation of the closely related homologues, the ESTs were assigned a molecular function, biological process and cellular component from the GO database [ 19].
The abundant genes were categorized into 22 major functional groups (percentage of expressed genes >10) based on the GO categories.
The functional annotations used to train our models are based on the GO category and are obtained from Yeast SGD database [28].
It also identifies overrepresented biological functions and canonical pathways based on the GO annotations of each gene and manually curated canonical pathways.
These annotations were based on the GO terms.
An explanatory name was chosen to describe the cluster based on the GO terms enriched.
Uncoloured terms have been included only to provide context based on the GO term hierarchy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com