QIIME
QIIME (pronounced chime) stands for Quantitative Insights Into Microbial Ecology, is an open-source bioinformatics pipeline for performing microbiome analysis from raw DNA sequencing data. QIIME is designed to take users from raw sequencing data generated on Illumina or other platforms to publication-quality graphics and statistics. This includes demultiplexing and quality filtering, OTU picking, taxonomic assignment, phylogenetic reconstruction, diversity analyses and visualizations. QIIME has been applied to studies based on billions of sequences from tens of thousands of samples.
Note: QIIME 2 has replaced QIIME 1 as of January 1, 2018; version 1 is no longer supported.
Note: As of February, 2020, due to various issues generated by Conda environments in our HPC systems, installation using Anaconda or Miniconda is no longer supported.
Installation
QIIME2 can be installed using Apptainer or using EasyBuild. Apptainer is strongly preferred since it does not generate many thousands of files in your home directory, potentially causing you to exceed the disk quota limit on the number of files.
Using Apptainer
The QIIME2 developers publish images on Quay.io. In order to use one of these images on our systems you must first build an Apptainer image:
[name@server ~]$ module load apptainer
[name@server ~]$ apptainer build qiime2-2021.11.sif docker://quay.io/qiime2/core:2021.11
This build step may take over an hour, but you only need to do this once. Save the image file (qiime2-2021.11.sif in this example) for later re-use.
Then run your code as described at Apptainer. Typically you will run each QIIME command in a apptainer exec statement:
[name@server ~]$ apptainer exec qiime2-2021.11.sif <your QIIME command>
So your SBATCH script might look something like this:
#!/bin/bash #SBATCH --time=15:00:00 #SBATCH --account=def-someuser apptainer exec -B $PWD:/home -B /scratch/someuser:/outputs \ -B /projects/def-somePI/someuser/path/to/inputs:/inputs qiime2-2021.11.sif \ qiime tools import --type 'FeatureData[Sequence]' \ --input-path /inputs/some_fastafile.fa \ --output-path /outputs/some_output_feature.qza apptainer exec -B $PWD:/home -B /scratch/someuser:/outputs \ -B /projects/def-somePI/someuser/path/to/inputs:/inputs qiime2-2021.11.sif \ qiime tools import \ --type 'FeatureData[Taxonomy]' \ --input-format HeaderlessTSVTaxonomyFormat \ --input-path /inputs/some_taxonomy_file.tax \ --output-path /outputs/some_output_ref-taxonomy.qza apptainer exec -B $PWD:/home -B /scratch/someuser:/outputs \ -B /projects/def-somePI/someuser/path/to/inputs:/inputs qiime2-2021.11.sif \ qiime feature-classifier fit-classifier-naive-bayes \ --i-reference-reads /outputs/some_output_feature.qza \ --i-reference-taxonomy /outputs/some_output_ref-taxonomy.qza \ --o-classifier /outputs/some_output_classifier.qza
Note that it is important to use the bind option (-B) with each folder you want to work with when you run programs in your container. For more information about Apptainer, you can watch the recorded Singularity webinar.
On first importing data into QIIME format you may receive an error ending with a message like this:
Timezone offset does not match system offset: 0 != -18000. Please, check your config files.
This can be worked around by setting a time zone before invoking Apptainer:
[name@server ~]$ export TZ='UTC'
[name@server ~]$ apptainer exec qiime2-2021.11.sif qiime tools import ...