Cargando…
ZCURVE_CoV: a new system to recognize protein coding genes in coronavirus genomes, and its applications in analyzing SARS-CoV genomes
A new system to recognize protein coding genes in the coronavirus genomes, specially suitable for the SARS-CoV genomes, has been proposed in this paper. Compared with some existing systems, the new program package has the merits of simplicity, high accuracy, reliability, and quickness. The system ZC...
Autores principales: | Chen, Ling-Ling, Ou, Hong-Yu, Zhang, Ren, Zhang, Chun-Ting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science (USA).
2003
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134609/ https://www.ncbi.nlm.nih.gov/pubmed/12859968 http://dx.doi.org/10.1016/S0006-291X(03)01192-6 |
Ejemplares similares
-
ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes
por: Guo, Feng-Biao, et al.
Publicado: (2006) -
Structural Genomic Analysis of SARS-CoV-2 and Other Coronaviruses
por: Zhang, Qiong, et al.
Publicado: (2022) -
Bioinformatic analysis and identification of single-stranded RNA sequences recognized by TLR7/8 in the SARS-CoV-2, SARS-CoV, and MERS-CoV genomes
por: Moreno-Eutimio, Mario Adán, et al.
Publicado: (2020) -
ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes
por: Hua, Zhi-Gang, et al.
Publicado: (2015) -
Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses
por: Gussow, Ayal B., et al.
Publicado: (2020)