%0 Journal Article %J Plant Physiology %D 2017 %T The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology %A Joanna Friesner %A Sarah M. Assmann %A Ruth Bastow %A Julia Bailey-Serres %A Jim Beynon %A Volker Brendel %A C. Robin Buell %A Alexander Bucksch %A Wolfgang Busch %A Taku Demura %A Jose R. Dinneny %A Colleen J. Doherty %A Andrea L. Eveland %A Pascal Falter-Braun %A Malia A. Gehan %A Michael Gonzales %A Erich Grotewold %A Rodrigo Gutierrez %A Ute Kramer %A Gabriel Krouk %A Shisong Ma %A R.J. Cody Markelz %A Molly Megraw %A Blake C. Meyers %A James A.H. Murray %A Nicholas J. Provart %A Sue Rhee %A Roger Smith %A Edgar P. Spalding %A Crispin Taylor %A Tracy K. Teal %A Keiko U. Torii %A Chris Town %A Matthew Vaughn %A Richard Vierstra %A Doreen Ware %A Olivia Wilkins %A Cranos Williams %A Siobhan M. Brady %X
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 (Provart et al., 2016). Due to an extremely well-annotated genome and advances in high-throughput sequencing, our understanding of this organism and other plant species has become even more intricate and complex. Computational resources, including CyVerse,3 Araport,4 The Arabidopsis Information Resource (TAIR),5 and BAR,6 have further facilitated novel findings with just the click of a mouse. As we move toward understanding biological systems, Arabidopsis researchers will need to use more quantitative and computational approaches to extract novel biological findings from these data. Here, we discuss guidelines, skill sets, and core competencies that should be considered when developing curricula or training undergraduate or graduate students, postdoctoral researchers, and faculty. A selected case study provides more specificity as to the concrete issues plant biologists face and how best to address such challenges.
%B Plant Physiology %V 175 %P 1499-1509 %8 12/2017 %G eng %U http://www.plantphysiol.org/content/175/4/1499