QC plots and statistics
# download the software:
git clone https://github.com/fiberseq/fiberseq-qc.git
cd fiberseq-qc
# install external dependencies using:
conda create -n fiberseq-qc
mamba env update -n fiberseq-qc --file env/qc.yaml
Then, activate your environment
conda activate fiberseq-qc
src/runall-qc.tcsh my-output-dir PS00246 fiberseq.ft.bam
where fiberseq.ft.bam was produced using the
ft predict-m6a
commandThe main output is a page that ends in overview.html that you can open in your browser.
On the left side is a series of pertinent histogram and other analysis images with statistics.
On the right side is a blow-up of any image that you mouse over on the left.