seq2science

Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.

bioinformatics

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170 Stars

28 Forks

170 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$42.21M

Market Value

$144.05M

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the vanheeringen-lab/seq2science GitHub project? Description: "Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data. ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone seq2science

Clone via HTTPS

git clone https://github.com/vanheeringen-lab/seq2science.git

Clone via SSH

[email protected]:vanheeringen-lab/seq2science.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the seq2science issue tracker:

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