The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
fastsimcoal2: demographic inference under complex evolutionary scenarios
Open accessAbstract
Motivation: fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic simulation program, by enabling the estimation of demographic parameters under very complex scenarios from the site frequency spectrum under a maximum-likelihood framework. Results: Other improvements include multi-threading, handling of population inbreeding, extended input file syntax facilitating the description of complex demographic scenarios, and more efficient simulations of sparsely structured populations and of large chromosomes. Availability and implementation: fastsimcoal2 is freely available on http://cmpg.unibe.ch/software/fastsimcoal2/. It includes console versions for Linux, Windows and MacOS, additional scripts for the analysis and visualization of simulated and estimated scenarios, as well as a detailed documentation and ready-to-use examples.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
ANGSD: Analysis of Next Generation Sequencing Data
Korneliussen, T. S., Albrechtsen, A., & Nielsen, R. (2014) · BMC Bioinformatics · doi:10.1186/s12859-014-0356-4 · Cited by 2,982
Approximate Bayesian computation in population genetics
Beaumont, M. A., Zhang, W., & Balding, D. J. (2002) · Genetics · doi:10.1093/genetics/162.4.2025 · Cited by 2,932
Inference of human population history from individual whole-genome sequences
Li, H., & Durbin, R. (2011) · Nature · doi:10.1038/nature10231 · Cited by 2,590
Kingman, J. F. C. (1982) · Stochastic Processes and their Applications · doi:10.1016/0304-4149(82)90011-4 · Cited by 2,155
Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000695 · Cited by 1,906
Maximum likelihood estimation via the ECM algorithm: A general framework
MENG, X.-L., & RUBIN, D. B. (1993) · Biometrika · doi:10.1093/biomet/80.2.267 · Cited by 1,861
Robust Demographic Inference from Genomic and SNP Data
Excoffier, L., Dupanloup, I., Huerta-Sánchez, E., Sousa, V. C., & Foll, M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003905 · Cited by 1,466
Self-citationOXFORD SURVEYS IN EVOLUTIONARY BIOLOGY
Allendorf, F. W. (1989) · Evolution · doi:10.1111/j.1558-5646.1989.tb02584.x · Cited by 1,449
WAHLUND, S. (2010) · Hereditas · doi:10.1111/j.1601-5223.1928.tb02483.x · Cited by 1,107
Robust and scalable inference of population history from hundreds of unphased whole genomes
Terhorst, J., Kamm, J. A., & Song, Y. S. (2017) · Nature Genetics · doi:10.1038/ng.3748 · Cited by 937
Cited by
Integrated analysis of the complete sequence of a macaque genome
Zhang, S., Xu, N., Fu, L., Yang, X., Ma, K., Li, Y., Yang, Z., Li, Z., Feng, Y., Jiang, X., et al. (2025) · Nature · doi:10.1038/s41586-025-08596-w · Cited by 48
Tichkule, S., Cacciò, S. M., Robinson, G., Chalmers, R. M., Mueller, I., Emery-Corbin, S. J., Eibach, D., Tyler, K. M., van Oosterhout, C., & Jex, A. R. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac056 · Cited by 23
Adaptive genomic divergence parallels migratory behavior in Atlantic bluefin tuna
Mikles, C. S., Pagniello, C. M. L. S., Bigal, E., Moran, B. M., Rooker, J. R., Ortega, A., de la Gándara, F., Maxwell, H., Schallert, R., Castleton, M. R., et al. (2026) · Current Biology · doi:10.1016/j.cub.2026.04.006 · Cited by 3
Metadata
- Authors
- Excoffier, L., Marchi, N., Marques, D. A., Matthey-Doret, R., Gouy, A., & Sousa, V. C.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-06-23
- Volume
- 37
- Issue
- 24
- Pages
- 4882-4885
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W3174985893
- Cited by
- 426
- References
- 44
- FWCI
- 27.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: fastsimcoal2: demographic inference under complex evolutionary scenarios. https://app.cochat.ai/papers/10.1093/bioinformatics/btab468
- The paper
- Excoffier, L., Marchi, N., Marques, D. A., Matthey-Doret, R., Gouy, A., & Sousa, V. C. (2021). fastsimcoal2: demographic inference under complex evolutionary scenarios. Bioinformatics. https://doi.org/10.1093/bioinformatics/btab468
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.