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Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows
Abstract
We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (W inarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command‐line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command‐line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework.
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Metadata
- Authors
- EXCOFFIER, L., & LISCHER, H. E. L.
- Venue
- Molecular Ecology Resources
- Publisher
- Wiley
- Published
- 2010-04-06
- Volume
- 10
- Issue
- 3
- Pages
- 564-567
- ISSN
- 1755-098X (ISSN-L)
- 1755-0998
- OpenAlex
- W1990074132
- Cited by
- 16,326
- References
- 2
- FWCI
- 324.91
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
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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.
