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teemi: A Python package for reproducible and FAIR microbial strain construction. Simulate the entire dbtl-cycle, generate genetic parts, design libraries, and track samples. Open-source Python platform for workflow flexibility and automated tasks, accelerating metabolic engineering. Try teemi with our Google Colab notebooks!

License: MIT License

Python 0.57% Jupyter Notebook 99.43%
bio-cad ht-strain-construction machine-learning-guided-engineering-of-biology metabolic-engineering synthetic-biology

teemi's Introduction

Hey there!

As a PhD student at DTU, I'm currently exploring the integration of Python into the field of biology, specifically in high-throughput strain construction.

To that end, I've collaborated with researchers at DTU to create a Python package called teemi, which utilizes literate programming for high-throughput strain engineering.

Feel free to check out my repositories on GitHub or contact me through email if you're interested in collaborating with me on this exciting area of research. I'm always looking for exciting collaborations - so please don't hesitate to reach out.

Email : [email protected]

teemi's People

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teemi's Issues

Nicking enzyme - support for Dseqrecord and Dseq

nicking enzyme always returns a Dseq, but it would be better I think if it could return a Dseqrecord keeping its original features. It could also work for Dseq as inputs.

You could check whether the argument passed is child of Dseqrecord or Dseq and do differently for each. Alternatively, you could include them as methods of the classes as I mention in #18.

USER_enzyme - support Dseq

Similar to #19 and mentioned in #18. It could be nice to have the function support Dseq, or make two class methods in Dseq and Dseqrecord.

Including dependencies in Pypi package

Hello! When installing the package from Pypi, it does not install any necessary dependency. The user has to separately install pandas, Biopython, etc (which may lead to them using incompatible versions). For now I am using requirements.txt, but it would be good to include them in the next pypi release.

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