Sentence examples for the code can be found from inspiring English sources

Further information about the code can be found here.

(The code can be found here).

The code can be found at: http://www.tchumatchenko.de/CodeNuCond_Fig2.nb.

A short description of the code can be found in [17].

The estimating procedure was implemented in R (16) (R Foundation for Statistical Computing, Vienna, Austria), and the code can be found in Appendix 2. In Appendix 1, we also discuss uncertainty estimates for β ˆ and γ ˆ, respectively.

The code can be found below.

The explanation of the species code can be found in table 3. Genetic differentiation among species within clusters that contain accessions from two species ranged from 9.8% in cluster 4 to 27.8% in cluster 7.

Additional material and the source code can be found at the project homepage (URL found in the Availability and requirements section).

Stochastic simulations were performed in a SQL based program (the source code can be found in the Text S1), using 10 Z-stacks, and 100 starting cells.

All resources for GLO-Roots, including the original raw data used in the manuscript, sample images, GLO-RIA user manual, the latest software updates, and the source code, can be found at: https://dinnenylab.wordpress.com/glo-roots/.

Instructions on how to use the tool are available at http://goo.gl/dVeWpg and the source code can be found at http://github.com/biojs/biojs and DOI: 10.5281/zenodo.7708.