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To explore their biological functions, GO classification by functional annotation of the DAVID (Database for Annotation, Visualization and Integrated Discovery) tools categorize each genes with significant differential expression in cochlea of Cmah-null mice.
To link exon array data to protein products, we used MS of proteins from tested tissues, followed by functional annotation of the detected categories.
The expression profile of the 97 uniquely up-regulated and 164 uniquely down-regulated genes in co-stimulated NK cells was analyzed by functional annotation of GO terms (DAVID).
Annotation of protein-coding genes was performed with an in-house procedure, which consists of two phases: syntactical annotation (prediction and location of protein coding genes), followed by functional annotation of each element based on comparison with known sequences.
Reannotation of A. amazonense protein-coding genes was performed with a following procedure, which consists of two phases: initially the A. amazonense contigs were compared with the Azospirillum sp. B510 genome followed by functional annotation of each coding sequence (CDS) based on comparison with known sequences of the other six selected genomes using the Xbase Annotation Service [ 10].
(ii) By functional annotation of protein products, which is provided by external sources, such as the output of Blast2GO [ 58]. (iii) By gene orthology (evolutionary history of each individual gene family across input genomes), which is identified by a built-in function of BLAST hits clustering or from external sources, such as the output of OrthoMCL [ 59].
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As increasing amounts of published experimental evidence has yet to be captured by functional annotation, prioritization of gene products for curation is important to consider.
DAVID Resources v. 6.7 ([ 48, 49] http://david.abcc.ncifcrf.gov/) was used for initial analysis to identify pathways generated by functional annotation clustering of gene lists and visualize genes on KEGG pathway maps.
Based on the open reading frame (ORF) prediction of H-InvDB transcript sequences, followed by the functional annotation of experienced annotators, we identified 108,530 nonredundant human protein candidates.
The new approach was developed by the Functional Annotation of the Mammalian Genome (FANTOM) international consortium, organized by RIKEN Omics Science Center in Yokohama, Japan.
This was confirmed by the functional annotation of the differentially expressed genes as it showed downregulation of cell cycle-related genes.
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