![]() ![]() For each AGE combination we are able to derive a so-called projected confidence value, which is the average specificity of ORF start codon prediction based on the eight genomes. The order of AGE combinations is from high to low specificity, where the specificity is based on the eight genome annotations. We present a case study which demonstrates a novel way of comparative genome annotation, using combinations of AGEs in a pre-defined order (or path) to predict ORF start codons. Here we analyzed the ab initio open reading frame (ORF) calling performance of different AGEs based on curated genome annotations of eight strains from different bacterial species with GC% ranging from 35–52%. ![]() Combining multiple AGEs might allow for more accurate predictions. However, it is not uncommon for AGEs to provide different and sometimes conflicting predictions. For many labs, the use of AGEs is therefore essential to decrease the time necessary for annotating a given prokaryotic genome. Automated genome annotation engines provide users a straight-forward and complete solution for predicting ORF coordinates and function. Nowadays, prokaryotic genomes are sequenced faster than the capacity to manually curate gene annotations. Reduce Manual Curation by Combining Gene Predictions from Multiple Annotation Engines, a Case Study of Start Codon PredictionĮderveen, Thomas H. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |