Accepted_test

Approaches for the coronavirus genomes annotation

by Elena V. Korneenko | Ivan K. Chudinov | Ivan O.Butenko | Anna S. Speranskaya | Scientific Research Institute for Systems Biology and Medicine, Federal Service on Consumer Rights Protection and Human Well-Being Surveillance, Moscow, Russia | Scientific Research Institute for Systems Biology and Medicine, Federal Service on Consumer Rights Protection and Human Well-Being Surveillance, Moscow, Russia | Scientific Research Institute for Systems Biology and Medicine, Federal Service on Consumer Rights Protection and Human Well-Being Surveillance, Moscow, Russia | Scientific Research Institute for Systems Biology and Medicine, Federal Service on Consumer Rights Protection and Human Well-Being Surveillance, Moscow, Russia

Abstract ID: 490

Event: BGRS-abstracts

Sections: [Sym 1] Section “Structural-functional organization of genomes and transcriptomics”

The discovery of novel viruses especially coronaviruses (CoVS) has great importance in public health. After the genome assembly each sequence should be annotated. Accurate gene prediction is a challenge that persists for decoding a newly sequenced genome. To describe and visualize features of newly obtained viral genomes we applied the three step approach which included similarity-based prediction of genes/cds, protein domains prediction, output verification and manual correction.