First, we annotate existing genome sequences of bacterial strains as pathogenic or otherwise, based on literature curation.
This algorithm is designed in two stages: first we annotate the isotopic peaks using a modified version of the IDM algorithm described last year; then we use a probabilistic classifier that is supplemented by dynamic programming to find the metabolically labeled matched isotopic pairs.
Second, we annotate the 6890 methylation features to the 7785 genes according to their positions on the chromosomes.
First, we manually annotated a base of 80 trajectories in 3D (corresponding to 3,640 positions).
To build the genome structure sequence of each mitogenome, we applied the following strategy: i) first, we extracted annotated protein coding genes, tRNAs, rRNAs, ORFs (Open Reading Frame) and pseudogenes from the corresponding GenBank file, and then, ii) non-coding sequences from the backbones.
For the first example, we annotated phrase ' endothelial cell migration' as an angiogenesis event and ' endothelial cell' a cell entity, whereas according to the GENIA guidelines, ' endothelial cell migration' would be marked as a ' cellular physiological process' event, ' endothelial cell' as a cell entity and ' migration' a trigger word.
To gain insight into the evolution of multiple variable first exons, we annotated the complete vertebrate Ugt1, Gcnt2, and Ugt2a repertoires and identified 65 (for mRNA and protein sequences see Additional file 1), 16 (Additional file 2), and 16 (Additional file 3) new genes, respectively.
In a second step, we annotated all correlated and anticorrelated transcripts with ChIP-seq intensity levels in their promoter regions, focusing on the five histone marks that are generally associated with gene promoters.
First, we created an annotated HTS profile for the reference genome, based on the production of virtual HTS reads.
