All-in-1 Dry Lab Resources: Knowledge is always available for those who seek it

AbhayKoushik commented 3 years ago

Hey All @iGEM-Bettencourt-2021/dry-lab-data-analysis,

This is the place where we add in all our dry resources that not only make us wet but whet our knowledge about all things dry-lab. To start with, I am broadly classifying this space into 4 classes with tags:

1) DataPreproc:

Anything related to pre-processing. Eg: Data clean-up, augmentation

Ultimate guide to data cleaning - Find more cool blogs on towardsdatascience.com

2) DataProc:

Anything related to the actual processing of data. Eg: Relevant Models

Papers with code - Find all the cutting-edge models published and benchmarked.

3) DataViz:

For all things that concern visualizations. Eg: Popular DataViz Libraries

Data Visualization Project - DVP - Explore the ways of data-visualization.
Data Visualization Blog - Advise to a Scientist - Read more on how to visualize data

4) Post processing & Statistics:

For all things that makes mathematical sense of the available data

Common Statistical Tests - And when to use them

Feel free to add in additional classes if you deem it necessary.

How to contribute?

You could contribute to this space by commenting with the appropriate tags (only ClassName tags are allowed) on this issue with all the cool blogs and resources you find helpful for our community.

Should you have any specific questions, feel free to reach out to me.

Cheers! Your Data Wizard, Abhay

Master student, M1 Life Sciences BE (Hons.) Computer Science, BITS Pilani Abhay Koushik | CRI Paris | ENS

research555 commented 3 years ago

Hahaha @AbhayKoushik glad to know advice to a scientist came to good use! I will add additional things over the week!

git-cgalan commented 3 years ago

I'm gonna try to add resources about web and app developing when I'll have the time to do so.

AbhayKoushik commented 3 years ago

Adding in some GitHub tutorials for the benefit of all who are new to GitHub:

iGEM-Bettencourt-2021 / Dry-lab