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ctb committed Nov 8, 2018
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22 changes: 11 additions & 11 deletions docs/cicese-cluster.md
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Expand Up @@ -42,17 +42,6 @@ ssh <usuario>@omica.cicese.mx



## Using the Installed Software

To use the software we have previously installed you'll need to execute the following:

```
echo 'export PATH=/LUSTRE/apps/workshop/miniconda3/bin:$PATH' >> ~/.bashrc
echo 'export PATH=/LUSTRE/apps/workshop/transrate-1.0.3-linux-x86_64:$PATH' >> ~/.bashrc
source ~/.bashrc
```


## Working on the cluster

After logging in, make sure to switch to a node:
Expand All @@ -69,6 +58,17 @@ Now, to enter our `conda` environment, run:
source activate tara
```

## Setting up the environment

To set up the software we have previously installed you'll need to execute the following:

```
echo 'export PATH=/LUSTRE/apps/workshop/miniconda3/bin:$PATH' >> ~/.bashrc
echo 'export PATH=/LUSTRE/apps/workshop/transrate-1.0.3-linux-x86_64:$PATH' >> ~/.bashrc
source ~/.bashrc
```



## Future Cluster Use

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19 changes: 16 additions & 3 deletions docs/sourmash-taxonomic-classification.md
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Expand Up @@ -65,6 +65,18 @@ anyway. It can help you quickly locate potential contamination in your sequencin
wouldn't expect to find mouse RNA in the ocean, but it is a commonly sequenced organism
and thus if you find it, if may be a contaminant).

```
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/genbank-rna-vertebrate_other-k31.tar.gz .
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/genbank-rna-vertebrate_mammalian-k31.tar.gz .
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/genbank-rna-invertebrate-k31.tar.gz .
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/genbank-rna-fungi-k31.tar.gz .
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/genbank-rna-plant-k31.tar.gz .
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/genbank-rna-protozoa-k31.tar.gz .
ln -fs /LUSTRE/bioinformatica_data/bioinformatica2018/sourmash_databases/mmetsp-k31-named.tar.gz .
```

> Note, if you want to download these files instead, do:
```
wget -O genbank-rna-vertebrate_other-k31.tar.gz https://osf.io/qgyax/download
wget -O genbank-rna-vertebrate_mammalian-k31.tar.gz https://osf.io/6c9uy/download
Expand All @@ -74,11 +86,12 @@ wget -O genbank-rna-plant-k31.tar.gz https://osf.io/kctus/download
wget -O genbank-rna-protozoa-k31.tar.gz https://osf.io/fnu2q/download
wget -O mmetsp-k31-named.tar.gz https://osf.io/cdvqn/download
```
> but this will not work on the nodes on the cicese cluster!
Next, we need to uncompress the databases:

```
for infile in *tar.gz
for infile in *.tar.gz
do
tar xf ${infile}
done
Expand Down Expand Up @@ -157,10 +170,10 @@ python plot-gather.py

this will produce a file 'plot-gather.png' that we need to download in order
to visualize.
[Here](https://github.com/ngs-docs/2018-cicese-metatranscriptomics/blob/master/docs/files/plot-gather.png) is a copy of this output
visualization.

We can see that the reads have more matches than the assembly.
[Here](https://github.com/ngs-docs/2018-cicese-metatranscriptomics/blob/master/docs/files/plot-gather.png) is a copy of the output
visualization.

## Other notes

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