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Cited by 3,557

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spag e d i: a versatile computer program to analyse spatial genetic structure at the individual or population levels

Hardy, Olivier J., Vekemans, Xavier·2002·Molecular Ecology Notes
DOI 10.1046/j.1471-8286.2002.00305.x
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Abstract

spag e d i version 1.0 is a software primarily designed to characterize the spatial genetic structure of mapped individuals or populations using genotype data of codominant markers. It computes various statistics describing genetic relatedness or differentiation between individuals or populations by pairwise comparisons and tests their significance by appropriate numerical resampling. spag e d i is useful for: (i) detecting isolation by distance within or among populations and estimating gene dispersal parameters; (ii) assessing genetic relatedness between individuals and its actual variance, a parameter of interest for marker based inferences of quantitative inheritance; (iii) assessing genetic differentiation among populations, including the case of haploids or autopolyploids.

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Research works printed but not linked: 23

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Metadata

Authors
Hardy, O. J., & Vekemans, X.
Venue
Molecular Ecology Notes
Publisher
Wiley
Published
2002-10-04
Volume
2
Issue
4
Pages
618-620
ISSN
  • 1471-8278 (ISSN-L)
  • 1471-8286
DOI
10.1046/j.1471-8286.2002.00305.x
OpenAlex
W2107356656
Cited by
3,557
References
1
FWCI
20.34
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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CoChat. (2026). Citation check: spag e d i: a versatile computer program to analyse spatial genetic structure at the individual or population levels. https://app.cochat.ai/papers/10.1046/j.1471-8286.2002.00305.x
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Hardy, O. J., & Vekemans, X. (2002). spag e d i: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Molecular Ecology Notes. https://doi.org/10.1046/j.1471-8286.2002.00305.x

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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.