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I’m running SMETANA in --detailed mode to estimate inter-species interactions, and noticed that analyses ran on the same dataset return a different number of interactions and scores. Is this expected?
Also – I am trying to estimate interactions across groups of ca. 500 genomes, the analysis has been running for 3 days and is still in the “Running SCS” stage. Would excluding inorganic compounds help with runtime? Do you have any tips on how I could speed-up or parallelise the analyses?
Many thanks!!
Vanessa
The text was updated successfully, but these errors were encountered:
This speeds up the computation of alternative solutions, but it uses some heuristics that can make the final result non-deterministic.
Regarding the speed, are you simulating the 500 genomes into one single 500-species community? SMETANA is not able to deal with such a large size, the maximum size we managed to simulate so far was 50 species.
My suggestion for speed up is to build randomly-sampled sub-communities, simulate them all in parallel, and merge the results in the end. For instance, you generate 1000 random communities with 10-20 species each.
Hi Daniel,
I’m running SMETANA in --detailed mode to estimate inter-species interactions, and noticed that analyses ran on the same dataset return a different number of interactions and scores. Is this expected?
Also – I am trying to estimate interactions across groups of ca. 500 genomes, the analysis has been running for 3 days and is still in the “Running SCS” stage. Would excluding inorganic compounds help with runtime? Do you have any tips on how I could speed-up or parallelise the analyses?
Many thanks!!
Vanessa
The text was updated successfully, but these errors were encountered: