https://github.com/fomightez/humap3-binder

Using data from hu.MAP 3.0 with the convenience of Python and Jupyter.
https://github.com/fomightez/humap3-binder

bioinformatica-pipeline bioinformatics bioinformatics-analysis bioinformatics-scripts genomics pandas pandas-dataframe protein-sequences protein-structure python

Last synced: 6 days ago
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Using data from hu.MAP 3.0 with the convenience of Python and Jupyter.

• Host: GitHub
• URL: https://github.com/fomightez/humap3-binder
• Owner: fomightez
• License: mit
• Created: 2024-10-18T14:45:09.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-12-23T20:50:28.000Z (10 days ago)
• Last Synced: 2024-12-23T21:31:56.381Z (10 days ago)
• Topics: bioinformatica-pipeline, bioinformatics, bioinformatics-analysis, bioinformatics-scripts, genomics, pandas, pandas-dataframe, protein-sequences, protein-structure, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.29 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# humap3-binder

Analysis of hu.MAP 3.0-related data via active Jupyter sessions provided via MyBinder.org. Adapt the demonstrations to analyze your favorite proteins and create reports.

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fomightez/humap3-binder/main?urlpath=%2Flab%2Ftree%2Findex.ipynb)

*tl;dr:*  

Click any `launch binder` badge on this page to use the demonstrations inside your browser.

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***humap3-binder:  Jupyter notebook environment for analysis of hu.MAP 3.0-related data.***

A launchable, working Jupyter-based environment that has a collection of demonstrations of analysis of hu.MAP 3.0-related data served via MyBinder.org.

You can also easily adapt the demonstrations to analyze your favorite proteins or create reports featuring your proteins of interest.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if `launch binder` is clicked. Everything will just work. Of course, static versions of the notebooks can also be used. I recommend rendering the static versions by placing the URLs into the [nbviewer](https://nbviewer.jupyter.org/). The views provided by [nbviewer](https://nbviewer.jupyter.org/) look best and Github's rendering often times out (your mileage may vary).

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#### Related

[my Unipressed-binder repository](https://github.com/fomightez/Unipressed-binder) demonstrates using the package Unipressed to access information from UniProt.