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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.

Home Page: https://vanheeringen-lab.github.io/seq2science

License: MIT License

Python 77.03% AngelScript 0.57% Shell 11.01% R 10.88% Perl 0.51%
snakemake bioinformatics bioinformatics-pipeline atac-seq rna-seq chip-seq reproducible-research ngs pipeline sra

seq2science's Introduction

seq2science

bioconda-badge anaconda-version nr downloads star this repo Test Status docs DOI DOI

Seq2science is the attempt of the van heeringen lab to generate a collection of generic pipelines/workflows which can be used by complete beginners to bioinformatics and experienced bioinformaticians alike. Please take a look at our docs for help with installation, how to run it, and best practices.

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Our supported workflows:

New users

Information for new users, such as how to install and configure can be found in our getting started page, and our Frequently Asked Questions (FAQ) section.

Feedback

Anything not working as expected? Please reach out to us via our issues page and we'll try to help you as soon as possible!

Cite us

van der Sande M, Frölich S, Schäfers T, Smits JGA, Snabel RR, Rinzema S, van Heeringen SJ. 2023. Seq2science: an end-to-end workflow for functional genomics analysis. PeerJ 11:e16380 https://doi.org/10.7717/peerj.16380

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