Emmanuel Gonzalez

Emmanuel Gonzalez

Computational Research Scientist | Software Engineer | Solutions Developer | Team Mentor | PhD in Plant Science

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Leveraging Supervised and Unsupervised Machine Learning to Study Shapes

1 minute read

Published:

As sensor technology improves, data volumes grow. We now live in a sea of data collected by our phones, smartwatches, and home assistants like Alexa. Science is not any different, new sensors are enabling the collection of large datasets that can be mined for new scientific discoveries. In plant science, sensor technology is being applied to study how plants grow under drought conditions.

Using interactive data visualization to make sense of large datasets

1 minute read

Published:

As sensor technology improves, data volumes grow. We now live in a sea of data collected by our phones, smartwatches, and home assistants like Alexa. Science is not any different, new sensors are enabling the collection of large datasets that can be mined for new scientific discoveries. In plant science, sensor technology is being applied to study how plants grow under drought conditions.

Setting up iRODS

1 minute read

Published:

Learn how to install and use the Integrated Rule-Oriented Data System (iRODS).

iRODS Crash Course

less than 1 minute read

Published:

Learn how to use iRODS for your research data management needs.

Terminal, GitHub, and iRODS Essentials

4 minute read

Published:

Learn how to leverage the terminal for GitHub version control and Integrated Rule-Oriented Data System (iRODS) data management!

publications

StarBLAST: a scalable BLAST+ solution for the classroom Permalink

Published in Journal of Open Source Education, 2021

Recommended citation: Cosi, M., Forstedt, J.J., Gonzalez, E.M., Xu, Z., Peri, S., Tuteja, R., et al. (2021). StarBLAST: a scalable BLAST+ solution for the classroom. Journal of Open Source Education 4, 102. doi: 10.21105/JOSE.00102.

MegaStitch: Robust Large Scale Image Stitching Permalink

Published in IEEE Transactions on Geoscience and Remote Sensing [Impact Factor 8.1], 2022

Recommended citation: Zarei, A., Gonzalez, E.M., Merchant, N., Pauli, D., Lyons, E., and Barnard, K. (2022). MegaStitch: Robust Large-Scale Image Stitching. IEEE Transactions on Geoscience and Remote Sensing 60. doi: 10.1109/TGRS.2022.3141907.

PhytoOracle: Scalable, modular phenomic data processing pipelines Permalink

Published in Frontiers in Plant Science [Impact Factor 6.6], 2023

Recommended citation: Gonzalez, E.M., Zarei, A., Hendler, N., Simmons, T., Zarei, A., Demieville, J., et al. (2023). PhytoOracle: Scalable, modular phenomics data processing pipelines. Front Plant Sci 14, 684. doi: 10.3389/FPLS.2023.1112973.

Leaf cuticular wax composition of a genetically diverse collection of lettuce (Lactuca sativa L.) cultivars evaluated under field conditions Permalink

Published in Heliyon [Impact Factor 4.0], 2024

Recommended citation: Luo, W., Gonzalez, E.M., Zarei, A., Calleja, S., Rozzi, B., Demieville, J., et al. (2024). Leaf cuticular wax composition of a genetically diverse collection of lettuce (Lactuca sativa L.) cultivars evaluated under field conditions. Heliyon 0, e27226. doi: 10.1016/J.HELIYON.2024.E27226

research

talks

teaching