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Abstract:

The integration of ecology and genetics has become established in recent decades, in hand with the development of new technologies, whose implementation is allowing an improvement of the tools used for data analysis. In a landscape genetics context, integrative management of population information from different sources can make spatial studies involving phenotypic, genotypic and environmental data simpler, more accessible and faster. Tools for exploratory analysis of autocorrelation can help to uncover the spatial genetic structure of populations and generate appropriate hypotheses in searching for possible causes and consequences of their spatial processes. This study presents EcoGenetics, an R package with tools for multisource management and exploratory analysis in landscape genetics. © 2017 John Wiley & Sons Ltd

Registro:

Documento: Artículo
Título:EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics
Autor:Roser, L.G.; Ferreyra, L.I.; Saidman, B.O.; Vilardi, J.C.
Filiación:Instituto de Investigaciones Biotecnológicas (IIB-INTECH), Universidad Nacional de San Martín, Buenos Aires, Argentina
Facultad de Ciencias Exactas y Naturales, Departamento Ecología, Genética y Evolución, Genética de Poblaciones Aplicada (GPA), Universidad de Buenos Aires, Buenos Aires, Argentina
Facultad de Ciencias Exactas y Naturales, Departamento Ecología, Genética y Evolución, Genética de Especies Leñosas (GEEL), Universidad de Buenos Aires, Buenos Aires, Argentina
Instituto de Ecología, Genética y Evolución (IEGEBA), CONICET – Universidad de Buenos Aires, Buenos Aires, Argentina
Palabras clave:ecology; genetics; landscape genetics; package; R; spatial autocorrelation; biodiversity; biostatistics; population genetics; procedures; spatial analysis; Biodiversity; Biostatistics; Genetics, Population; Spatial Analysis
Año:2017
Volumen:17
Número:6
Página de inicio:e241
Página de fin:e250
DOI: http://dx.doi.org/10.1111/1755-0998.12697
Título revista:Molecular Ecology Resources
Título revista abreviado:Mol. Ecol. Resour.
ISSN:1755098X
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1755098X_v17_n6_pe241_Roser

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Citas:

---------- APA ----------
Roser, L.G., Ferreyra, L.I., Saidman, B.O. & Vilardi, J.C. (2017) . EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics. Molecular Ecology Resources, 17(6), e241-e250.
http://dx.doi.org/10.1111/1755-0998.12697
---------- CHICAGO ----------
Roser, L.G., Ferreyra, L.I., Saidman, B.O., Vilardi, J.C. "EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics" . Molecular Ecology Resources 17, no. 6 (2017) : e241-e250.
http://dx.doi.org/10.1111/1755-0998.12697
---------- MLA ----------
Roser, L.G., Ferreyra, L.I., Saidman, B.O., Vilardi, J.C. "EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics" . Molecular Ecology Resources, vol. 17, no. 6, 2017, pp. e241-e250.
http://dx.doi.org/10.1111/1755-0998.12697
---------- VANCOUVER ----------
Roser, L.G., Ferreyra, L.I., Saidman, B.O., Vilardi, J.C. EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics. Mol. Ecol. Resour. 2017;17(6):e241-e250.
http://dx.doi.org/10.1111/1755-0998.12697