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The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology
Author(s) -
Joanna Friesner,
Sarah M. Assmann,
Ruth Bastow,
Julia BaileySerres,
Jim Bey,
Volker Brendel,
C. Robin Buell,
Alexander Bucksch,
Wolfgang Busch,
Taku Demura,
José R. Dinneny,
Colleen J. Doherty,
Andrea L. Eveland,
Pascal Braun,
Malia Gehan,
Michael Gonzales,
Erich Grotewold,
Rodrigo A. Gutiérrez,
Ute Krämer,
Gabriel Krouk,
Shisong Ma,
R. J. Cody Markelz,
Molly Megraw,
Blake C. Meyers,
J. A. H. Murray,
Nicholas J. Provart,
Sue Rhee,
R. D. Smith,
Edgar P. Spalding,
Crispin B. Taylor,
Tracy Teal,
Keiko U. Torii,
Chris Town,
Matthew Vaughn,
Richard D. Vierstra,
Doreen Ware,
Olivia Wilkins,
Cranos Williams,
Siobhán M. Brady
Publication year - 2017
Publication title -
plant physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.554
H-Index - 312
eISSN - 1532-2548
pISSN - 0032-0889
DOI - 10.1104/pp.17.01490
Subject(s) - arabidopsis , organism , computational biology , plant biology , arabidopsis thaliana , biology , resource (disambiguation) , computer science , data science , model organism , genetics , gene , botany , mutant , computer network
It has been more than 50 years since Arabidopsis ( Arabidopsis thaliana ) was first introduced as a model organism to understand basic processes in plant biology. A well-organized scientific community has used this small reference plant species to make numerous fundamental plant biology discoveries

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