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Merge pull request #209 from samoturk/bio_and_chemo_inf

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Added some chemo and bio informatics libraries
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Vinta 2014-09-01 17:45:25 +08:00
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@ -840,6 +840,15 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
* [SymPy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics. * [SymPy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics.
* [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python. * [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python.
* [astropy](http://www.astropy.org/) - A community Python library for Astronomy. * [astropy](http://www.astropy.org/) - A community Python library for Astronomy.
* [orange](http://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.
* [RDKit](http://www.rdkit.org/) - Cheminformatics and Machine Learning Software.
* [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data.
* [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
* [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation.
* [bccb](https://github.com/chapmanb/bcbb) - Collection of useful code related to biological analysis.
* [bcbio-nextgen](https://github.com/chapmanb/bcbio-nextgen) - A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
## Data Visualization ## Data Visualization