Getting started on the Open #Bioinformatics Research Project initiative
ππ§΅π See thread below
ππ§΅π See thread below
1. Watch the introductory video on the Open Bioinformatics Research Project initiative for:
- Intro to the initiative
- High-level overview of the dataset
- Ideas for which types of analysis to perform
- Intro to the initiative
- High-level overview of the dataset
- Ideas for which types of analysis to perform
2. Accessing the dataset
π GitHub github.com/dataprofessor/β¦
π Kaggle kaggle.com/thedataprof/beβ¦
π GitHub github.com/dataprofessor/β¦
π Kaggle kaggle.com/thedataprof/beβ¦
4. Complementary tools
To perform EDA and ML model building it may be helpful to use @RDKit_org and PaDEL (as well as PaDELPy).
Install it via:
π pip install rdkit-pypi
π pip install padelpy
To perform EDA and ML model building it may be helpful to use @RDKit_org and PaDEL (as well as PaDELPy).
Install it via:
π pip install rdkit-pypi
π pip install padelpy
5. Watch related project tutorial videos
- 6 Part #Bioinformatics from Scratch
- 2 Part #DataScience for #DrugDiscovery
Pt 1
Pt 2
- 6 Part #Bioinformatics from Scratch
- 2 Part #DataScience for #DrugDiscovery
Pt 1
Pt 2
6. Additional supplemental tutorial videos
- How to use PaDELPY to calculate molecular descriptors and fingerprints
- 2 minute overview of using #machinelearning for #drugdiscovery
- Build a @Streamlit app
- How to use PaDELPY to calculate molecular descriptors and fingerprints
- 2 minute overview of using #machinelearning for #drugdiscovery
- Build a @Streamlit app
7. Perhaps some background knowledge? Here are hour-long lecture and podcast videos
- Computational #DrugDiscovery 101
- How to Build #Bioinformatics Tools
- Podcast with @wpwalters on #cheminformatics
- Computational #DrugDiscovery 101
- How to Build #Bioinformatics Tools
- Podcast with @wpwalters on #cheminformatics
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