Cargando…
Modeling compositional dynamics based on GC and purine contents of protein-coding sequences
BACKGROUND: Understanding the compositional dynamics of genomes and their coding sequences is of great significance in gaining clues into molecular evolution and a large number of publically-available genome sequences have allowed us to quantitatively predict deviations of empirical data from their...
Autores principales: | Zhang, Zhang, Yu, Jun |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2989939/ https://www.ncbi.nlm.nih.gov/pubmed/21059261 http://dx.doi.org/10.1186/1745-6150-5-63 |
Ejemplares similares
-
The Purine Bias of Coding Sequences is Determined by Physicochemical Constraints on Proteins
por: de Leon, Miguel Ponce, et al.
Publicado: (2014) -
Biased Gene Conversion and GC-Content Evolution in the Coding Sequences of Reptiles and Vertebrates
por: Figuet, Emeric, et al.
Publicado: (2014) -
GC-Profile: a web-based tool for visualizing and analyzing the variation of GC content in genomic sequences
por: Gao, Feng, et al.
Publicado: (2006) -
NullSeq: A Tool for Generating Random Coding Sequences with Desired Amino Acid and GC Contents
por: Liu, Sophia S., et al.
Publicado: (2016) -
CodSeqGen: A tool for generating synonymous coding sequences with desired GC-contents
por: Al-Ssulami, Abdulrakeeb M., et al.
Publicado: (2020)