Difference between revisions of "File:Fig1 Dufresnes PLOSONE2018 12-1.png"
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==Summary== | |||
{{Information | |||
|Description='''Figure 1.''' Principal component analysis '''(A)''' and Bayesian clustering with STRUCTURE '''(B)''' of individual genotypes from 48 ''Cannabis'' accessions. Fiber and drug accessions are displayed in green and red respectively on the PCA. Ellipses illustrate 80% inertia of each accessions. Dots represent individuals, linked to their accessions (labelled within colored squares). On the STRUCTURE barplots, colors show the probability of assignment to each cluster (K = 2), perfectly distinguishing fibers from drugs. | |||
|Source={{cite journal |title=Broad-scale genetic diversity of ''Cannabis'' for forensic applications |journal=PLOS ONE |author=Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. |volume=12 |issue=1 |pages=e0170522 |year=2017 |doi=10.1371/journal.pone.0170522}} | |||
|Author=Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. | |||
|Date=2017 | |||
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International] | |||
}} | |||
== Licensing == | == Licensing == | ||
{{cc-by-4.0}} | {{cc-by-4.0}} | ||
Latest revision as of 00:24, 3 July 2019
Summary
| Description |
Figure 1. Principal component analysis (A) and Bayesian clustering with STRUCTURE (B) of individual genotypes from 48 Cannabis accessions. Fiber and drug accessions are displayed in green and red respectively on the PCA. Ellipses illustrate 80% inertia of each accessions. Dots represent individuals, linked to their accessions (labelled within colored squares). On the STRUCTURE barplots, colors show the probability of assignment to each cluster (K = 2), perfectly distinguishing fibers from drugs. |
|---|---|
| Source |
Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. (2017). "Broad-scale genetic diversity of Cannabis for forensic applications". PLOS ONE 12 (1): e0170522. doi:10.1371/journal.pone.0170522. |
| Date |
2017 |
| Author |
Dufresnes, C.; Jan, C.; Bienert, F.; Goudet, J.; Fumagalli, L. |
| Permission (Reusing this file) |
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Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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