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The clean reads were annotated into different categories.
The 23,473 assembled transcripts were annotated into different functional groups according to Gene Ontology (GO) analysis.
Afterwards, the clean reads that perfectly mapped the genome were annotated into different categories according to the standard bioinformatics pipeline designed by GBI.
ESTs of DEGs were annotated into different functional groups using Gene Ontology (GO) and mapped to different pathways using the Kyoto encyclopedia of genes and genomes (KEGG) [ 21].
All clean reads were annotated into different categories, including plant miRNAs (miRbase, http://www.mirbase.org/), exons and introns (B. rapa genome, http://www.ncbi.nlm.nih.Gov/genbank), and non-coding RNAs (Rfam, http://www.sanger.ac.uk).sanger.ac.uk
Briefly, by comparing the clean reads with those in existing databases and picking out the overlap on genome location between our data and the databases using BLAST or other programs developed by GBI, the small RNA reads were annotated into different categories.
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The recording signal was manually annotated into three different classes "talker 1", "talker 2", and "silence".
Furthermore, these sRNAs were annotated into several different categories (Table 2).
All the probes were annotated into 35 different functional categories or "BINS" as defined by MapMan software (Additional file 17).
The signal is annotated into "talker 1", "talker 2", and "silence" segments.
The signals were manually annotated into 4 main categories and 17 subcategories.
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