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Differentially expressed genes from leaves and roots were annotated using the GO database.
After annotation using the GO database, successfully annotated genes could be categorized into 47 sub-groups from three main categories (biological process, cellular component and molecular function) (Additional file 3: Table S3).
Transcripts with changed expression ≥1.5-fold and an adjusted p < 0.01 were considered significantly regulated; association to biological process was performed using the GO database with a p value cutoff of <0.05.
Transcripts with changed expression ≥1.5-fold and an adjusted p < 0.01 were considered significantly regulated; association to biological process was performed using the GO database with a p value cutoff of <0.05 Fig. 6 Expression of genes associated with cell cycle regulation.
To investigate the properties of identified proteins, the 1557 identified proteins were classified based on the cellular location or biological process of the protein using the GO database (Figure 1).
The functional categories of these unigenes were identified using the GO database.
Similar(41)
To test this hypothesis, we use the GO database [ 22] as a source of annotations of biological processes.
To take a broad and unbiased approach, we used the GO database, a curated set of terms describing known properties of the protein product of a gene.
The unigenes were subjected to a BLAST search and annotated using the GO and KO databases.
A total of 77,212 unigenes were obtained, and the unigenes were subjected to BLAST searching and annotated using the GO and KO databases.
Finally, analysis of the predicted targets of the miRNAs using the GO and KO databases indicated that a range of metabolic pathways and biological processes known to be associated with salt stress were up-regulated in broccoli treated with salt.
More suggestions(15)
using the go term
using the BioGRID database
using the MetaCyc database
using the go class
using the ISFinder database
using the SortMeRNA database
using the go gold
using the Ingenix database
using the PostgreSQL database
using the Cassandra database
using the Mascot database
using the go programming
using the go sheet
using the ProfCom database
using the PubMed database
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