Cargando…
Multivariate analysis of genomic variables, effective population size, and mutation rate
OBJECTIVE: The relationship between genomic variables (genome size, gene number, intron size, and intron number) and evolutionary forces has two implications. First, they help to unravel the mechanism underlying genome evolution. Second, they provide a solution to the debate over discrepancy between...
Autores principales: | Bhattachan, Punit, Dong, Bo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347809/ https://www.ncbi.nlm.nih.gov/pubmed/30683153 http://dx.doi.org/10.1186/s13104-019-4097-3 |
Ejemplares similares
-
Identification and population genetic comparison of three ascidian species based on mtDNA sequences
por: Bhattachan, Punit, et al.
Publicado: (2020) -
Multivariate Analysis of Effective Dose and Size-Specific Dose Estimates for Thorax and Abdominal Computed Tomography
por: Shah, Mudasir Ashraf, et al.
Publicado: (2023) -
Modeling nematode population dynamics using a multivariate poisson model with spike and slab variable selection
por: Giese, Gill, et al.
Publicado: (2021) -
Effect of restraint inside the transport vehicle on heart rate and heart rate
variability in Thoroughbred horses
por: OHMURA, Hajime, et al.
Publicado: (2022) -
pyGenomeTracks: reproducible plots for multivariate genomic datasets
por: Lopez-Delisle, Lucille, et al.
Publicado: (2020)