KaKs_Calculator: Calculating Ka and Ks Through Model Selection and Model Averaging

Explore this paper's citation graph

Summary

KaKs_Calculator implements a set of candidate models in a maximum likelihood framework and adopts the Akaike information criterion to measure fitness between models and data, aiming to include as many features as needed for accurately capturing evolutionary information in protein-coding sequences.

Type
article
Published
2007-05-23
Cited by
1,094
References
37
Access
Open access

Keywords

Calculator, Model selection, Selection (genetic algorithm), Computer science, Artificial intelligence

References

Cited by

Related papers