awesome-single-cell VS DGE_workshop

Compare awesome-single-cell vs DGE_workshop and see what are their differences.

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awesome-single-cell DGE_workshop
3 1
2,927 266
- -
5.2 1.4
about 2 months ago over 2 years ago
HTML
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-single-cell

Posts with mentions or reviews of awesome-single-cell. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-21.

DGE_workshop

Posts with mentions or reviews of DGE_workshop. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-single-cell and DGE_workshop you can also consider the following projects:

cellsnp-lite - Efficient genotyping bi-allelic SNPs on single cells

advanced-react-patterns - Learn how to build simple and flexible React Components and Hooks using modern patterns

MultiQC - Aggregate results from bioinformatics analyses across many samples into a single report.

talks - Talks at Python Delhi User Group!

Baltica - Baltica: integrated differential junction usage

python-ultimate-tutorial - This repository is the source code of the Python Tutorial Based on the Official Documentation: https://youtu.be/ne4Xsoe5Br8

Awesome-Bioinformatics - A curated list of awesome Bioinformatics libraries and software.

mastering-zsh - Advanced topics to take advantage of zsh 👩‍💻👨‍💻

scDblFinder - Methods for detecting doublets in single-cell sequencing data

raymarching-workshop - An Introduction to Raymarching