Learn to manage large 16S datasets in QIIME: prepare the environment, import data, perform quality control, assign taxonomy, create visualizations, and export results.
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Preparing QIIME Environment
source activate qiime2-X.X
, where X.X
is your version number.
Importing Data
qiime tools import --type 'SampleData[PairedEndSequencesWithQuality]' --input-path .fastq --output-path demux.qza
.
Demultiplexing and Quality Control
qiime demux summarize --i-data demux.qza --o-visualization demux.qzv
. This step helps you decide on trimming and filtering criteria.
qiime dada2 denoise-paired --i-demultiplexed-seqs demux.qza --p-trim-left-f --p-trim-left-r --p-trunc-len-f --p-trunc-len-r --o-table table.qza --o-representative-sequences rep-seqs.qza --o-denoising-stats stats.qza
, where
values are chosen based on your quality plots.
Feature Table and Taxonomy Assignment
qiime feature-table summarize --i-table table.qza --o-visualization table.qzv
.
qiime feature-classifier classify-sklearn --i-classifier .qza --i-reads rep-seqs.qza --o-classification taxonomy.qza
. Ensure that the classifier is appropriate for your region (e.g., 16S V3-V4).
Creating Visualizations
qiime taxa barplot --i-table table.qza --i-taxonomy taxonomy.qza --m-metadata-file .tsv --o-visualization taxa-bar-plots.qzv
.
Exporting Data for Further Analysis
qiime tools export --input-path table.qza --output-path exported-feature-table
.
Backing Up Your Work
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