Peer-reviewedLicence not statedMolecular Ecology Resources
WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data
Related
- Detecting and Quantifying Changing Selection Intensities from Time-Sampled Polymorphism Data
- Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective
- Coronavirus Diversity in an Italian Bat Population Sampled During the Pandemic in 2020.
- Inferring effective neuronal circuits via network flux counting
- An information-borrowing Bayesian method for inferring high-dimensional population-level brain connectivity from small samples
BibTeX
@article{foll2026wfabc,
title = {{WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data}},
author = {Matthieu Foll and Hyunjin Shim and Jeffrey D Jensen},
journal = {Molecular Ecology Resources},
year = {2026},
month = oct,
doi = {10.1111/1755-0998.12280},
eprint = {1409.8529},
archivePrefix = {arXiv},
url = {https://hal.science/hal-05842788v1},
}
RIS
TY - JOUR
TI - WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data
AU - Matthieu Foll
AU - Hyunjin Shim
AU - Jeffrey D Jensen
PY - 2026
DA - 2026/10/28
JO - Molecular Ecology Resources
DO - 10.1111/1755-0998.12280
UR - https://hal.science/hal-05842788v1
SN - 1755-098X
SN - 1755-0998
ER -