IES retention analysis from PacBio CCS reads
BleTIES is a tool for prediction and targeted assembly of internally eliminated sequences (IESs) in ciliate genomes, using single-molecule long read sequencing. The design and name of the software was inspired by ParTIES.
The released versions are distributed via Bioconda, and can be installed with Conda:
# Create new environment called "bleties"
conda create -c conda-forge -c bioconda -n bleties bleties
# Activate environment
conda activate bleties
# Check version and view help message
bleties --version
bleties --help
# Run tests
python -m unittest -v bleties.TestModule
If you want to test the latest development version, clone this Git repository, then install with pip.
Dependencies are specified as a Conda environment YAML file env.yaml
. Create a
Conda environment with the specified dependencies, then install with pip
:
git clone git@github.com:Swart-lab/bleties.git
cd bleties
conda env create -f env.yaml -n bleties_dev
conda activate bleties_dev
pip install .
Run tests after installation:
python -m unittest -v bleties.TestModule
To list input arguments and options and their respective usage, use the -h
or
--help
option, with or without the subworkflow names:
bleties --help
bleties milraa --help
bleties miser --help
bleties milret --help
bleties milcor --help
bleties miltel --help
bleties insert --help
In addition there are two scripts for plotting the output from the MILRAA and
MILCOR modules. See the --help
messages for usage instructions:
milcor_plot.py --help
milraa_plot.py --help
Refer to the individual module pages for further information.
BleTIES is research software. Please cite us if you use the software in a publication.
Brandon K. B. Seah, Estienne C. Swart. (2021) BleTIES: Annotation of natural genome editing in ciliates using long read sequencing. Bioinformatics btab613; doi: https://doi.org/10.1093/bioinformatics/btab613