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To compare gene sets from different species, we used annotations deposited in GenBank or kindly provided to us by Susann Wicke from the University of Vienna (for annotations of Orobanchaceae).
We have used annotations on asset and behaviour factories and on the methods within the classes that are used for input parameters.
Unless noted otherwise, we used annotations from FlyBase Release 5.4 of the D. melanogaster genome for our analysis, including recovery of annotated ncRNAs (Table 1) and analysis of predictions in UTRs of D. melanogaster.
In addition to the clone registry, we also used annotations from the UCSF 2.0 arrays (data from http://cancer.ucsf.edu/array/analysis/), as well as GenBank records referencing BAC names in the title block.
For this we used annotations from the Biogrid, version 2.0.61[ 56].
Since the studied PTCs occur in the chimpanzee we used annotations based on the chimpanzee genome.
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Moreover, Sma3s outperformed other widely used annotation methods when annotating DNA array datasets (Fig. 5).
For semantic annotation, two main methods are generally used: annotation with concepts belonging to a taxonomy or annotation with natural language statements defining prerequisites and learning objectives.
GO is the most important and extensively used annotation database in enrichment analysis.
Several catalogs from commonly used annotation sources and instructions for creating user-specific catalogs are provided.
Here, we used annotation data from two sources, GeneOntology (GO) [ 13] and pathway annotations from KEGG [ 14, 15].
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