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pro vyhledávání: '"Alexandr Koryachko"'
Autor:
Alexandr Koryachko, Anna Matthiadis, Durreshahwar Muhammad, Jessica Foret, Siobhan M Brady, Joel J Ducoste, James Tuck, Terri A Long, Cranos Williams
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136591 (2015)
Time course transcriptome datasets are commonly used to predict key gene regulators associated with stress responses and to explore gene functionality. Techniques developed to extract causal relationships between genes from high throughput time cours
Externí odkaz:
https://doaj.org/article/699113b474f84c6b9cab203ff3ff5d99
Autor:
Alexandr Koryachko, Samiul Haque, Durreshahwar Muhammad, Terri A. Long, Joel J. Ducoste, Anna Matthiadis, Cranos M. Williams, James Tuck
Publikováno v:
in silico Plants. 1
The iron deficiency response in plants is a complex biological process with a host of influencing factors. The ability to precisely modulate this process at the transcriptome level would enable genetic manipulations allowing plants to survive in nutr
Autor:
Alexandr Koryachko, Joel J. Ducoste, Cranos M. Williams, Anna Matthiadis, Terri A. Long, James Tuck
Publikováno v:
Current Plant Biology. :20-29
Insight into biological stress regulatory pathways can be derived from high-throughput transcriptomic data using computational algorithms. These algorithms can be integrated into a computational approach to provide specific testable predictions that
Autor:
Jessica Foret, Durreshahwar Muhammad, James Tuck, Joel J. Ducoste, Alexandr Koryachko, Cranos M. Williams, Siobhan M. Brady, Terri A. Long, Anna Matthiadis
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136591 (2015)
PloS one, vol 10, iss 8
PLoS ONE
PloS one, vol 10, iss 8
PLoS ONE
Time course transcriptome datasets are commonly used to predict key gene regulators associated with stress responses and to explore gene functionality. Techniques developed to extract causal relationships between genes from high throughput time cours