Directions for research and training in plant omics: Big Questions and Big Data

Cristiana T. Argueso, Sarah M. Assmann, Kenneth D. Birnbaum, Sixue Chen, José R. Dinneny, Colleen J. Doherty, Andrea L. Eveland, Joanna Friesner, Vanessa R. Greenlee, Julie A. Law, Amy Marshall-Colon, Grace Alex Mason, Ruby O'Lexy, Scott C. Peck, Robert J. Schmitz, Liang Song, David Stern, Marguerite J. Varagona, Justin W. Walley, Cranos M. Williams

Research output: Contribution to journalArticle

Abstract

A key remit of the NSF-funded “Arabidopsis Research and Training for the 21 st Century” (ART-21) Research Coordination Network has been to convene a series of workshops with community members to explore issues concerning research and training in plant biology, including the role that research using Arabidopsis thaliana can play in addressing those issues. A first workshop focused on training needs for bioinformatic and computational approaches in plant biology was held in 2016, and recommendations from that workshop have been published (Friesner et al., Plant Physiology, 175, 2017, 1499). In this white paper, we provide a summary of the discussions and insights arising from the second ART-21 workshop. The second workshop focused on experimental aspects of omics data acquisition and analysis and involved a broad spectrum of participants from academics and industry, ranging from graduate students through post-doctorates, early career and established investigators. Our hope is that this article will inspire beginning and established scientists, corporations, and funding agencies to pursue directions in research and training identified by this workshop, capitalizing on the reference species Arabidopsis thaliana and other valuable plant systems.

Original languageEnglish (US)
Article numbere00133
JournalPlant Direct
Volume3
Issue number4
DOIs
StatePublished - Apr 2019

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training (plants)
Education
plant biology
Research
Arabidopsis
Technical presentations
research coordination
Arabidopsis thaliana
corporations
plant physiology
bioinformatics
funding
Plant Physiological Phenomena
Physiology
Bioinformatics
students
data acquisition
Computational Biology
Industry
Data acquisition

Keywords

  • genomics
  • metabolomics
  • proteomics
  • training
  • transcriptomics

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Plant Science

Cite this

Argueso, C. T., Assmann, S. M., Birnbaum, K. D., Chen, S., Dinneny, J. R., Doherty, C. J., ... Williams, C. M. (2019). Directions for research and training in plant omics: Big Questions and Big Data. Plant Direct, 3(4), [e00133]. https://doi.org/10.1002/pld3.133

Directions for research and training in plant omics : Big Questions and Big Data. / Argueso, Cristiana T.; Assmann, Sarah M.; Birnbaum, Kenneth D.; Chen, Sixue; Dinneny, José R.; Doherty, Colleen J.; Eveland, Andrea L.; Friesner, Joanna; Greenlee, Vanessa R.; Law, Julie A.; Marshall-Colon, Amy; Mason, Grace Alex; O'Lexy, Ruby; Peck, Scott C.; Schmitz, Robert J.; Song, Liang; Stern, David; Varagona, Marguerite J.; Walley, Justin W.; Williams, Cranos M.

In: Plant Direct, Vol. 3, No. 4, e00133, 04.2019.

Research output: Contribution to journalArticle

Argueso, CT, Assmann, SM, Birnbaum, KD, Chen, S, Dinneny, JR, Doherty, CJ, Eveland, AL, Friesner, J, Greenlee, VR, Law, JA, Marshall-Colon, A, Mason, GA, O'Lexy, R, Peck, SC, Schmitz, RJ, Song, L, Stern, D, Varagona, MJ, Walley, JW & Williams, CM 2019, 'Directions for research and training in plant omics: Big Questions and Big Data', Plant Direct, vol. 3, no. 4, e00133. https://doi.org/10.1002/pld3.133
Argueso CT, Assmann SM, Birnbaum KD, Chen S, Dinneny JR, Doherty CJ et al. Directions for research and training in plant omics: Big Questions and Big Data. Plant Direct. 2019 Apr;3(4). e00133. https://doi.org/10.1002/pld3.133
Argueso, Cristiana T. ; Assmann, Sarah M. ; Birnbaum, Kenneth D. ; Chen, Sixue ; Dinneny, José R. ; Doherty, Colleen J. ; Eveland, Andrea L. ; Friesner, Joanna ; Greenlee, Vanessa R. ; Law, Julie A. ; Marshall-Colon, Amy ; Mason, Grace Alex ; O'Lexy, Ruby ; Peck, Scott C. ; Schmitz, Robert J. ; Song, Liang ; Stern, David ; Varagona, Marguerite J. ; Walley, Justin W. ; Williams, Cranos M. / Directions for research and training in plant omics : Big Questions and Big Data. In: Plant Direct. 2019 ; Vol. 3, No. 4.
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