Install¶
Requires¶
Parsing the table and running FastQC
is performed with code written for
Python 3. We recommend using Anaconda (https://www.continuum.io/downloads) to
install the FastQC dependency.
Set Up BIOCONDA channels¶
conda config --add channels conda-forge
conda config --add channels defaults
conda config --add channels bioconda
Install Dependency¶
conda install fastqc
Install¶
The dashboard reads local files, so install where you will eventually be serving the site:
git clone https://github.com/pnnl/fqc.git
cd fqc
python setup.py install
This installs fqc
command-line tool to process FASTQs and create the
dashboard.
Then to deploy a local copy from within the fqc
directory, you can run:
python -m http.server --bind localhost 8000
And navigate to localhost:8000
in your browser.
By default, this will show the test data QC as determined by the data
directory in js/fqc.js
:
var filePath = "/example/plot_data/"
Edit fqc.js
to your local path within the fqc
directory tree.