SnIPRE: selection inference using a Poisson random effects model.
We present an approach for identifying genes under natural selection using polymorphism and divergence data from synonymous and non-synonymous sites within genes. A generalized linear mixed model is used to model the genome-wide variability among categories of mutations and estimate its functional c...
Saved in:
Main Authors: | Kirsten E Eilertson, James G Booth, Carlos D Bustamante |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2012
|
Subjects: | |
Online Access: | https://doaj.org/article/80fe1bf436b4473d8cd8ba1a9a73c221 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-scale inference of interaction rules in animal groups using Bayesian model selection.
by: Richard P Mann, et al.
Published: (2012) -
Inferring binding energies from selected binding sites.
by: Yue Zhao, et al.
Published: (2009) -
STDP allows fast rate-modulated coding with Poisson-like spike trains.
by: Matthieu Gilson, et al.
Published: (2011) -
Bayesian phylodynamic inference with complex models.
by: Erik M Volz, et al.
Published: (2018) -
Dopamine, affordance and active inference.
by: Karl J Friston, et al.
Published: (2012)