Speeding up ecological and evolutionary computations in R; essentials of high performance computing for biologists.

Visser, Marco D; McMahon, Sean M; Merow, Cory; Dixon, Philip M; Record, Sydne; Jongejans, Eelke

Visser, Marco D; McMahon, Sean M; Merow, Cory; Dixon, Philip M; Record, Sydne; Jongejans, Eelke.

Afiliação

Visser MD; Departments of Experimental Plant Ecology and Animal Ecology & Ecophysiology, Radboud University Nijmegen, Nijmegen, The Netherlands; Program for Applied Ecology, Centre for Tropical Forest Science, Smithsonian Tropical Research Institute, Balboa, Ancón, Panamá, Republic of Panamá
McMahon SM; Smithsonian Environmental Research Center, Edgewater, Maryland, United States of America.
Merow C; Smithsonian Environmental Research Center, Edgewater, Maryland, United States of America; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, Connecticut, United States of America.
Dixon PM; Department of Statistics, Iowa State University, Ames, Iowa, United States of America.
Record S; Harvard University, Harvard Forest, Petersham, Massachusetts, United States of America; Bryn Mawr College, Bryn Mawr, Pennsylvania, United States of America.
Jongejans E; Departments of Experimental Plant Ecology and Animal Ecology & Ecophysiology, Radboud University Nijmegen, Nijmegen, The Netherlands.

PLoS Comput Biol ; 11(3): e1004140, 2015 Mar.

Article em En | MEDLINE | ID: mdl-25811842

Assuntos

Biologia Computacional/métodos; Metodologias Computacionais; Ecologia/métodos; Genética Populacional/métodos; Análise por Conglomerados; Humanos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Metodologias Computacionais / Ecologia / Genética Populacional Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2015 Tipo de documento: Article

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