ИСТИНА

Genome annotation is vital for most genomic analyses. Still the quality of many annotations of eukaryotic genomes remains poor. Two major approaches to annotation rely on HMM ab-initio prediction or on transferring some existing annotation based on homology. Both have drawbacks. Approaches which combine ab-initio prediction with hints from experimental data (mostly, next generation sequencing data) can greatly improve annotation. I will discuss this method and demonstrate the results obtained with our annotation pipeline on genomes of several plant species.