RY-Coding and Non-Homogeneous Models Can Ameliorate the Maximum-Likelihood Inferences from Nucleotide Sequence Data with Parallel Compositional Heterogeneity
In phylogenetic analyses of nucleotide sequences, ‘homogeneous’ substitution models, which assume the stationarity of base composition across a tree, are widely used, albeit individual sequences may bear distinctive base frequencies. In the worst-case scenario, a homogeneous model-based analysis can...
Main Authors: | Sohta A. Ishikawa, Yuji Inagaki, Tetsuo Hashimoto |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2012-01-01
|
Series: | Evolutionary Bioinformatics |
Online Access: | https://doi.org/10.4137/EBO.S9017 |
Similar Items
-
RY-Coding and Non-Homogeneous Models Can Ameliorate the Maximum-Likelihood Inferences From Nucleotide Sequence Data with Parallel Compositional Heterogeneity
by: Sohta A. Ishikawa, et al.
Published: (2012-06-01) -
An investigation of irreproducibility in maximum likelihood phylogenetic inference
by: Xing-Xing Shen, et al.
Published: (2020-11-01) -
Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models
by: Omar Abbara, et al.
Published: (2022-12-01) -
Maximum Likelihood Inference in Weakly Identified DSGE Models
by: Andrews, Isaiah, et al.
Published: (2012) -
Likelihood Inference In Parallel Systems Regression Models With Censored Data
by: S.M.Baklizi, Ayman
Published: (1997)