BeCrop Portal Tools: Co-Ocurrence

Sample comparison for your analysis

The co-occurrence tool is used to carry out in-depth analyses on the different samples and plots. It is a tool to use it to know common and unique species in groups of samples. For example to answer the following questions:

  • How many microorganisms share my last months samples?
  • Is Lachancea Thermotolerans common to all my samples?
  • Do my biodynamic parcels have species that my other parcels don´t have?

Watch a guide on how to use it: 

Our specialist Gus Plamann, created the following video for you to learn more about this tool.

Creating clusters

Watch the video and read for more information: 

As you can see in the image, you must first select which samples you want to add to each cluster. Just click on the "down arrow". Each time you click a number will appear, this number indicates the cluster in which you are going to add the sample. In the image you can see that the samples from the "DEMO-CS" plot will be part of cluster "1" and the samples from the "Stone-VE" plot will be part of cluster "2". 

 

Knowledge Base - BeCrop Portal Tools - Clustering-1

On the bottom of the page you can see each cluster composition, as the following picture you can see: 

Knowledge Base - BeCrop Portal Tools - Clustering_2

💾 You can save your cluster by clicking on the disk icon on the left of the compare button.

When you have saved your cluster configuration you can load it by clicking on "Load Saved Configurations" (check the following picture to see where it is located) 

Knowledge Base - BeCrop Portal Tool - Clustering_3

📊 Once you create your clusters, then is time to compare and analyse.  So just click on "COMPARE" to see the results.

 

Evaluating results 

As soon as you click on the "Compare" button you will get the results. 

In the results you will see the following information:

  • See graphically where the co-occurrence of microorganisms occurs between the two clusters: 
    Knowledge Base - BeCrop Portal Tools - Coocurrence_2

 

  • Uniqueness: Organisms found in some samples of a cluster that are not present in any of the rest clusters
  • Diversity: Different organisms found in each cluster
  • Uniqueness Strength: Organisms found in all the samples of a cluster that are not present in any of the rest clusters
  • Affinity: Common organisms to all samples in each cluster

 

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