scarf
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Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
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<h3>A framework for memory-efficient analysis of single-cell genomics data</h3>
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<a href="https://scarf.readthedocs.io/en/latest/install.html"> 🔌 Installation</a> |
<a href="http://scarf.rtfd.io"> 📖 Documentation</a> |
<a href="https://scarf.readthedocs.io/en/latest/vignettes/basic_tutorial_scRNAseq.html"> 🚀 Getting started</a> |
<a href="https://www.nature.com/articles/s41467-022-32097-3">📝 Article in Nature Comm</a>
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<strong>Need support?</strong> Create an issue <a href="https://github.com/parashardhapola/scarf/issues">on Github</a> and connect with maintainers on this <a href="https://scarf-group.slack.com/archives/C0418C7RXU4">Slack channel</a>.
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