Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

Atkinson, Jonathan A.; Lobet, Guillaume; Noll, Manuel; Meyer, Patrick E.; Griffiths, Marcus; Wells, Darren M.

doi:10.1101/152702

All Outputs (4)

Uclacyanin proteins are required for lignified nanodomain formation within Casparian strips (2020)
Other
Reyt, G., Chao, Z., Flis, P., Castrillo, G., Chao, D., & Salt, D. E. Uclacyanin proteins are required for lignified nanodomain formation within Casparian strips

Casparian strips (CS) are cell wall modifications of vascular plants restricting extracellular free diffusion into and out the vascular system. This barrier plays a critical role in controlling the acquisition of nutrients and water necessary for nor... Read More about Uclacyanin proteins are required for lignified nanodomain formation within Casparian strips.

Author response: Genetic analysis of the Arabidopsis TIR1/AFB auxin receptors reveals both overlapping and specialized functions (2020)
Other
Prigge, M. J., Platre, M., Kadakia, N., Zhang, Y., Greenham, K., Szutu, W., …Estelle, M. (2020). Author response: Genetic analysis of the Arabidopsis TIR1/AFB auxin receptors reveals both overlapping and specialized functions

Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat (2019)
Other
Griffiths, M., Atkinson, J. A., Gardiner, L., Swarup, R., Pound, M. P., Wilson, M. H., …Wells, D. M. (2019). Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat

The root system architecture (RSA) of a crop has a profound effect on the uptake of nutrients and consequently the potential yield. However, little is known about the genetic basis of RSA and resource dependent response in wheat (Triticum aestivum L.... Read More about Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat.

Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies (2017)
Other
Atkinson, J. A., Lobet, G., Noll, M., Meyer, P. E., Griffiths, M., & Wells, D. M. (2017). Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies

Background: Genetic analyses of plant root system development require large datasets of extracted architectural traits. To quantify such traits from images of root systems, researchers often have to choose between automated tools (that are prone to e... Read More about Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies.