Literature DB >> 34822161

Future Challenges in Plant Systems Biology.

Mikaël Lucas1.   

Abstract

Plant systems biology is currently facing several important challenges, whose nature depend on the considered frame of reference and associated scale. This review covers some of the issues associated respectively with the molecular, tissue, and whole-plant scales, as well as discusses the potential for latest advances in synthetic biology and machine-learning methods to be of use in the future of plant systems biology.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Functional–structural plant models; Gene networks; Machine learning; Multiscale models; Plant biology; Synthetic biology; Systems biology; Tissue models

Mesh：

Year:  2022        PMID： 34822161     DOI： 10.1007/978-1-0716-1816-5_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  57 in total

Review 1.  Advantages and limitations of current network inference methods.

Authors:  Riet De Smet; Kathleen Marchal
Journal:  Nat Rev Microbiol       Date:  2010-08-31       Impact factor: 60.633

2.  Biology: The big challenges of big data.

Authors:  Vivien Marx
Journal:  Nature       Date:  2013-06-13       Impact factor: 49.962

3.  Verification of systems biology research in the age of collaborative competition.

Authors:  Pablo Meyer; Leonidas G Alexopoulos; Thomas Bonk; Andrea Califano; Carolyn R Cho; Alberto de la Fuente; David de Graaf; Alexander J Hartemink; Julia Hoeng; Nikolai V Ivanov; Heinz Koeppl; Rune Linding; Daniel Marbach; Raquel Norel; Manuel C Peitsch; J Jeremy Rice; Ajay Royyuru; Frank Schacherer; Joerg Sprengel; Katrin Stolle; Dennis Vitkup; Gustavo Stolovitzky
Journal:  Nat Biotechnol       Date:  2011-09-08       Impact factor: 54.908

Review 4.  Network-assisted crop systems genetics: network inference and integrative analysis.

Authors:  Tak Lee; Hyojin Kim; Insuk Lee
Journal:  Curr Opin Plant Biol       Date:  2015-02-16       Impact factor: 7.834

Review 5.  A review on the computational approaches for gene regulatory network construction.

Authors:  Lian En Chai; Swee Kuan Loh; Swee Thing Low; Mohd Saberi Mohamad; Safaai Deris; Zalmiyah Zakaria
Journal:  Comput Biol Med       Date:  2014-02-24       Impact factor: 4.589

Review 6.  Tools of the trade: studying molecular networks in plants.

Authors:  Sebastian Proost; Marek Mutwil
Journal:  Curr Opin Plant Biol       Date:  2016-03-15       Impact factor: 7.834

Review 7.  Mapping Transcriptional Networks in Plants: Data-Driven Discovery of Novel Biological Mechanisms.

Authors:  Allison Gaudinier; Siobhan M Brady
Journal:  Annu Rev Plant Biol       Date:  2016-01-25       Impact factor: 26.379

Review 8.  The Spring of Systems Biology-Driven Breeding.

Authors:  Jérémy Lavarenne; Soazig Guyomarc'h; Christophe Sallaud; Pascal Gantet; Mikaël Lucas
Journal:  Trends Plant Sci       Date:  2018-05-12       Impact factor: 18.313

9.  EGRINs (Environmental Gene Regulatory Influence Networks) in Rice That Function in the Response to Water Deficit, High Temperature, and Agricultural Environments.

Authors:  Olivia Wilkins; Christoph Hafemeister; Anne Plessis; Meisha-Marika Holloway-Phillips; Gina M Pham; Adrienne B Nicotra; Glenn B Gregorio; S V Krishna Jagadish; Endang M Septiningsih; Richard Bonneau; Michael Purugganan
Journal:  Plant Cell       Date:  2016-09-21       Impact factor: 11.277

10.  The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.

Authors:  Cole Trapnell; Davide Cacchiarelli; Jonna Grimsby; Prapti Pokharel; Shuqiang Li; Michael Morse; Niall J Lennon; Kenneth J Livak; Tarjei S Mikkelsen; John L Rinn
Journal:  Nat Biotechnol       Date:  2014-03-23       Impact factor: 54.908
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.