This is an implementation of the cross correlation algorithm for DNA/RNA alignment
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The project is based on the paper Sequence Alignment by Cross-Correlation and bridges the gap between the knowledge and an useful implementation. The underlying technique is the cross correlation algorithm, which can be tested in this notebook.
Another notebook can be seen here. The focus of this notebook is to illustrate how we can use the cross correlation for genomic data.
The gene sequences were obtained using the NCBI database.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
- pip install
pip install sequence-alignment-by-cross-correlation
- Use
python3 -m sequence-alignment-by-cross-correlation.sequence-alignment-by-cross-correlation
Have to figure out how to reduce the amount of string for this module...
- Clone the repo
git clone https://github.com/kuhjuice/sequence_alignment_by_cross_correlation.git
- Navigate into the repo
cd sequence_alignment_by_cross_correlation
- Install requirements.txt
or
pip install -r requirements.txt
pip3 install -r requirements.txt
- Ask the CLI for help
python3 sequence_alignment_by_cross_correlation.py --help
If we want to get an understanding of what the tool can do for us, we can use the help function of the CLI.
python3 sequence_alignment_by_cross_correlation/sequence_alignment_by_cross_correlation.py --help
If we want to find the gene omcB in the genome of Chlamydia Trachomatis we can use the sequence files in sequencesToTest
Executing the following will search for the omcB Gene in the genome of Chlamydia Trachomatis
python3 sequence_alignment_by_cross_correlation/sequence_alignment_by_cross_correlation.py 'sequencesToTest/C_T_genome.fasta' 'sequencesToTest/omcB_C_T_100fit.fna'
- Fix Bugs
- Make it a real package
- Evalueate if useful for other projects
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt
for more information.
Bo Kern - kern@blackscript.de
Project Link: https://github.com/kuhjuice/sequence_alignment_by_cross_correlation