... | @@ -27,9 +27,9 @@ $ checkm lineage_wf -f checkM_MaxBin_output_all/checkm_MaxBin.txt --tab_table -x |
... | @@ -27,9 +27,9 @@ $ checkm lineage_wf -f checkM_MaxBin_output_all/checkm_MaxBin.txt --tab_table -x |
|
```
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```
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If things went well after a couple of minutes (~15 minutes) you should be able to start analyzing the MAGs you generated.<br>
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If things went well after a couple of minutes (~15 minutes) you should be able to start analyzing the MAGs you generated.<br>
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However, if things are not working for you, we have previously selected a group of 21 MAGs using the assemblies and co-assemblies of the metagenomes we are analyzing. Find the MAGs in today's folder. From this point forward, we will be referring to this last group of MAGs, however, the activities work for either set of MAGs. <br>
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**However, if things are not working for you,** we have previously selected a group of 20 MAGs using the assemblies of the metagenomes we are analyzing. Find the MAGs in today's folder. From this point forward, we will be referring to this last group of MAGs, however, the activities work for either set of MAGs. <br>
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See the output file generated by checkM (e.g., checkm_MaxBin-selected-21.txt). It should look something like this:
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See the output file generated by checkM (e.g., checkm_MaxBin-selected-20.txt). It should look something like this:
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|
|
```
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```
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Bin Id Marker lineage # genomes # markers # marker sets 0 1 2 3 4 5+ Completeness Contamination Strain heterogeneity
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Bin Id Marker lineage # genomes # markers # marker sets 0 1 2 3 4 5+ Completeness Contamination Strain heterogeneity
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... | @@ -58,7 +58,7 @@ Can you figure out how to run it? Once you have your protein translations you ar |
... | @@ -58,7 +58,7 @@ Can you figure out how to run it? Once you have your protein translations you ar |
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## GTDB-tk
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## GTDB-tk
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This is just FYI. Don't bother to run GTDB-tk because it requires too much compute resources! For this section, we are just going to explore the results for a collection of MAGs previously selected by us. The installation is not hard but it requires too much free space to run. Alternatively, you could also run it using Kbase. However, feel free to install it using conda (these are the instructions from https://github.com/Ecogenomics/GTDBTk).<br>
|
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**This is just FYI.** Don't bother to run GTDB-tk because it requires too much compute resources! For this section, we are just going to explore the results for a collection of MAGs previously selected by us. The installation is not hard but it requires too much free space to run. Alternatively, you could also run it using Kbase. However, feel free to install it using conda (these are the instructions from https://github.com/Ecogenomics/GTDBTk).<br>
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1. Create a new conda environment: `conda create -n gtdbtk`
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1. Create a new conda environment: `conda create -n gtdbtk`
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2. Activate the environment: `conda activate gtdbtk`
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2. Activate the environment: `conda activate gtdbtk`
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... | | ... | |