<p>From the landscape to the plant: Integrating, visualizing and analyzing plant environment, phenotype and genotype using cartograplant, wildtype and tripal galaxy</p>

Irene Cobo-Simón; Nic  Herndon; Margaret  Staton; Emily  Grau; Sean  Buehler; Peter  Richter; Risharde  Ramnath; Charles Demurjian; Abdullah  Almsaeed; Stephen  Duncanson; Barnaly  Pande; Emily  Strickland; Jill  Wegrzyn

doi:10.7490/f1000research.1118599.1

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Cobo-Simón I, Herndon N, Staton M et al. From the landscape to the plant: Integrating, visualizing and analyzing plant environment, phenotype and genotype using cartograplant, wildtype and tripal galaxy [version 1; not peer reviewed]. F1000Research 2021, 10:578 (poster) (https://doi.org/10.7490/f1000research.1118599.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

From the landscape to the plant: Integrating, visualizing and analyzing plant environment, phenotype and genotype using cartograplant, wildtype and tripal galaxy

Irene Cobo-Simón¹, Nic Herndon, Margaret Staton, Emily Grau, Sean Buehler, Peter Richter, Risharde Ramnath, Charles Demurjian, Abdullah Almsaeed, Stephen Duncanson, Barnaly Pande, Emily Strickland, Jill Wegrzyn

Published 15 Jul 2021 (https://doi.org/10.7490/f1000research.1118599.1)

Author Affiliations

¹ University of Connecticut, USA

Copyright © 2021 Cobo-Simón I et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 15 Jul 2021

From the landscape to the plant: Integrating, visualizing and analyzing plant environment, phenotype and genotype using cartograplant, wildtype and tripal galaxy
[version 1; not peer reviewed]

Author Affiliations

¹ University of Connecticut, USA

Presented at

Galaxy Community Conference, 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Open source software, Galaxy, landscape genomics, association mapping, population genomics.

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