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

atac-seq bioinformatics bioinformatics-pipeline chip-seq fastq ngs pipeline reproducible-research rna-seq snakemake sra workflows

Last synced: about 1 month ago
JSON representation

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.

• Host: GitHub
• URL: https://github.com/vanheeringen-lab/seq2science
• Owner: vanheeringen-lab
• License: mit
• Created: 2019-07-11T11:12:45.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-02-05T14:07:13.000Z (5 months ago)
• Last Synced: 2024-05-22T16:36:13.180Z (about 1 month ago)
• Topics: atac-seq, bioinformatics, bioinformatics-pipeline, chip-seq, fastq, ngs, pipeline, reproducible-research, rna-seq, snakemake, sra, workflows
• Language: Python
• Homepage: https://vanheeringen-lab.github.io/seq2science
• Size: 1.39 GB
• Stars: 146
• Watchers: 6
• Forks: 26
• Open Issues: 24
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: docs/CONTRIBUTING.md
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

Lists

• awesome-atac-analysis - seq2science