Sentence examples for classes of annotations from inspiring English sources
Annotations in the GO can be experimentally or computationally derived, different classes of annotations have different levels of confidence.
Table 1 shows the change in total numbers of various classes of annotations between FB2010_01, R5.24 (the last release before high-throughput data input) and the final release of 2014, FB2014_06, R6.03.
We focus on three annotations from three different categories, non-synonymous SNPs (nsSNPs), promoter SNPs and cis expression QTLs (eQTLs) lying in open chromatin regions, representing three major classes of annotation information: protein changes, gene regulation and gene expression.
Of the 21 analyzed classes of annotation associated with genic features only intergenic regions showed depletion.
The results of these and similar studies can be used to identify classes of annotation that might be informative when studying the effects of variation for some specific phenotype.
The fact that RAST distinguishes these two classes of annotation and uses the relatively reliable subsystem-based assertions as the basis for a detailed metabolic reconstruction makes the RAST annotations an exceptionally good starting point for a more comprehensive annotation effort.
In what follows, we describe each class of annotation variable, its source and the parameterization we use for it in the models we fit.
This number includes two classes of GO annotations: those created manually by experienced biocurators reviewing the literature or by examination of biological data (1.1 million annotations covering 2226 species) and those generated computationally via automated methods.
RAST then automatically produces two classes of functional annotations for the predicted gene sequences.
Our analysis has provided insight into the extent to which different classes of functional annotation are most useful for the identification of known regulatory variants.
UD Gene sets were generated by us using the probe set search tool and the molecular function class of Gene Ontology annotations from GeneSpring GX 7.3.1., as described [21].
