title: ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes.
abstract: BACKGROUND
  It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genomes suffer from some basic drawbacks. This paper puts forward an alternative approach for viral and phage gene-finding to improve the quality of annotations, particularly for newly sequenced genomes.
  
  
  RESULTS
  The new system ZCURVE_V has been run for 979 viral and 212 phage genomes, respectively, and satisfactory results are obtained. To have a fair comparison with the currently available software of similar function, GeneMark, a total of 30 viral genomes that have not been annotated by GeneMark are selected to be tested. Consequently, the average specificity of both systems is well matched, however the average sensitivity of ZCURVE_V for smaller viral genomes (< 100 kb), which constitute the main parts of viral genomes sequenced so far, is higher than that of GeneMark. Additionally, for the genome of Amsacta moorei entomopoxvirus, probably with the lowest genomic GC content among the sequenced organisms, the accuracy of ZCURVE_V is much better than that of GeneMark, because the later predicts hundreds of false-positive genes. ZCURVE_V is also used to analyze well-studied genomes, such as HIV-1, HBV and SARS-CoV. Accordingly, the performance of ZCURVE_V is generally better than that of GeneMark. Finally, ZCURVE_V may be downloaded and run locally, particularly facilitating its utilization, whereas GeneMark is not downloadable. Based on the above comparison, it is suggested that ZCURVE_V may serve as a preferred gene-finding tool for viral and phage genomes newly sequenced. However, it is also shown that the joint application of both systems, ZCURVE_V and GeneMark, leads to better gene-finding results. The system ZCURVE_V is freely available at: http://tubic.tju.edu.cn/Zcurve_V/.
  
  
  CONCLUSIONS
  ZCURVE_V may serve as a preferred gene-finding tool used for viral and phage genomes, especially for anonymous viral and phage genomes newly sequenced.
authors.affiliation: Department of Physics, Tianjin University, Tianjin 300072, China. guofengbiao@eyou.com
authors.forename: Feng-Biao
authors.initials: FB
authors.lastname: Guo
authors.forename: Chun-Ting
authors.initials: CT
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001435:Bacteriophages / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D005189:False Positive Reactions; D016678:Genome; D016680:Genome, Bacterial; D016679:Genome, Viral; D015497:HIV-1 / Q000235:genetics; D006515:Hepatitis B virus / Q000235:genetics; D015233:Models, Statistical; D016366:Open Reading Frames; D012984:Software