Using hypothesis-driven modeling to understand branching

Plant Cell

Volumn 21, Issue 11, 2009, Pages 3415-

  Hofmann, Nancy R ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 73449101106     PISSN: 10404651     EISSN: 1532298X     Source Type: Journal    
DOI: 10.1105/tpc.109.211112     Document Type: Article

References (4)

1. Beveridge, C.A., and Kyozuka, J. (2009). New genes in the strigolactone-related shoot branching pathway. Curr. Opin. Plant Biol. 13: 1-6.
2. Dun, E.A., Hanan, J., and Beveridge, C.A. (2009). Computational modeling and molecular physiology experiments reveal new insights into shoot branching in pea. Plant Cell 21: 3459-3472.
3. Forger, D., Drapeau, M., Collins, B., and Blau, J. (2005). A new model for circadian clock research? Mol. Syst. Biol. 1: 2005.0014.
4. Leyser, O. (2009). The control of shoot branching: An example of plant information processing. Plant Cell Environ. 32: 694-703.