Predicting statistical properties of open reading frames in bacterial genomes.
An analytical model based on the statistical properties of Open Reading Frames (ORFs) of eubacterial genomes such as codon composition and sequence length of all reading frames was developed. This new model predicts the average length, maximum length as well as the length distribution of the ORFs of...
Guardado en:
Autores principales: | Katharina Mir, Klaus Neuhaus, Siegfried Scherer, Martin Bossert, Steffen Schober |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2012
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0ade4f91d18a4724ab34f6e8400ee4a9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The random nature of genome architecture: predicting open reading frame distributions.
por: Michael W McCoy, et al.
Publicado: (2009) -
Evolutionary divergence of novel open reading frames in cichlids speciation
por: Shraddha Puntambekar, et al.
Publicado: (2020) -
Identification of conserved peptide upstream open reading frames (CPuORFs) in oil palm (Elaeis guineensis) genome
por: ANDREA PUTRI SUBROTO, et al.
Publicado: (2021) -
Author Correction: Evolutionary divergence of novel open reading frames in cichlids speciation
por: Shraddha Puntambekar, et al.
Publicado: (2021) -
An upstream open reading frame modulates ebola virus polymerase translation and virus replication.
por: Reed S Shabman, et al.
Publicado: (2013)