simuPOP: a forward-time population genetics simulation environment
By Bo Peng, Marek Kimmel. Bioinform., 2005
328 citations recorded by the source corpus.
Subfields: Genetics, Management Science and Operations Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/4daf21f8a2dbd0a6c578e4f3ad6a18c4584f5c05
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Eric Bazin
- Michael G. B. Blum
- Keurcien Luu
- P. Villemereuil
- Sean M. Hoban
- Oscar E. Gaggiotti
- Giorgio Bertorelle
- MARK A. Beaumont
In Management Science and Operations Research
- Sean M. Hoban
- Keurcien Luu
- Michael G. B. Blum
- Eric Bazin
- Oscar E. Gaggiotti
- Giorgio Bertorelle
- P. Villemereuil
In Molecular Biology
- Sean M. Hoban
- Keurcien Luu
- Michael G. B. Blum
- Eric Bazin
- Oscar E. Gaggiotti
- Giorgio Bertorelle
- P. Villemereuil
Citations in the corpus
- Pcadapt: An R Package to Perform Genome Scans for Selection Based on Principal Component Analysis (2016, methodology): “Simulated data We generated simulated data under different demographic scenarios using the ms software and the Python package simuPOP (Hudson, 2002; Peng and Kimmel, 2005) (Fig SI1).”
- A new FST‐based method to uncover local adaptation using environmental variables (2015, methodology): “The simulations were performed using the SimuPOP Python library (Peng & Kimmel 2005), and the scripts are available online in the data section.”
- Computer simulations: tools for population and evolutionary genetics (2012, methodology): “SimuPop 12 was used to consider complex selection models and to obtain samples of the allele frequency spectra at multiple time points.”