Colabs for biology-related Python projects.
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There are many great biology-related Python projects on Github. This repo attempts to use Colab to walk through a selected few as a fun side project.
- Familiarity with
Pythonand Colab
Each .ipynb file is a standalone project that walks through certain models or tools. Open any .ipynb file and click Open in Colab to start running Python code.
All prerequisites should be provided or installed in the Colab. Here lists a few common tools in Colab to deal with dependencies.
- pip
!pip install biopython - git
!git clone https://github.com/collvey/Biopython.git - Set current directory in Colab as target
PATHto import fromimport sys sys.path.insert(0,'/content/')
Open NCRFpp Walkthrough and click Open in Colab to start running code.
Projects added:
- NCBI_Entrez_Alignment_Example
- Local_copy_of_training_MRL_CNN
- Sklearn_Regressor_Models
- Testing_Devil625_Codon_Optimization
- Walkthrough_for_jiesutd_NCRFpp
- Testing_human_utr_modeling
- More to add..
See the open issues for a full list of proposed features (and known issues).
Any contributions you make are greatly appreciated.
Steps to contribute:
- Fork the Project
- Create Feature Branch (
git checkout -b feature/FeatureName) - Commit your Changes (
git commit -m 'Add some feature') - Push to the Branch (
git push origin feature/FeatureName) - Open a Pull Request
Distributed under the MIT License. See LICENSE.md for more information.
Hongcheng Xu - @collvey - hongchengxu123[at]gmail.com
Project Link: https://github.com/collvey/Biopython