By examining the significant GO "biological process" classifications that are over-represented among these likely targets genes of the differentially expressed miRNAs, we analyzed the functional annotation for predicted target sets expected to shed light on the specific function of miRNAs significant to ALL biology.
By examining the significant GO 'biological process' classifications that were over-represented among the putative targets genes of the differentially expressed miRNAs, we analyzed the functional annotation for predicted target sets.
To identify the probable genes associated with disease resistance, genes that fell into the candidate interval were analyzed based on the annotations for the B. oleracea reference chromosomes from BRAD.
Therefore, we analyzed the families for common functional annotation and show that most members of a given family share a common functional domain or feature (Additional file 5).
We analyzed the distribution of GO annotations for genes containing at least one coding fRNA, to test for possible sources of bias in the dataset and to determine whether genes containing coding fRNAs otherwise tend to be enriched with any particular biological functions.
The hierarchical nature of the list facilitates searching, sorting, and comparison of different phenotypes, and in the future will allow the adaptation of existing tools that were originally created to analyze GO annotations, for use with phenotype annotations (see below).
Using this annotation, we analyzed the RNA sequencing data, and discovered 1,201 novel lncRNA genes expressed in rat VSMCs.
In order to analyze the performance for non-rigid object annotation, Fig. 22 shows the results for this kind of object.
Summary statistics for the analyzed annotations including the number of observed sites, the percentage of total nucleotides covered in the genome, the percentage of SNPs covered in the genome, and the average length of the annotated sites in base pairs were calculated for all annotations (Additional file 1).
The authors proposed four methodologies to generate automatically the annotation for every image, by analyzing the structural blocks, collecting anchor text of link structures, and gathering shared annotation with other images with the same visual signature.
