Flexible analysis of high-content CRISPR screening
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Updated
Mar 6, 2026 - Python
Flexible analysis of high-content CRISPR screening
🌳 Scalable ancestry from genomic data
Submit sequencing data to ENA via spreadsheet templates - automatically generates XML files, handles submission of study, sample, experiment and run. Extracts accession numbers from the XML receipt
Combinatorial Library Analysis Suite v.0.4.4
NanoListener: a small suite of Python scripts to create custom training datasets for modification-aware basecaller models.
Windows desktop app for downloading ENA FASTQ and GEO supplementary files.
A Snakemake pipeline for copy number variant calling without normal tissue samples
Archive reproducible NCBI BioProject metadata snapshots and download verified lossless SRA data, with manifests and optional FASTQ conversion.
Next-gen sequencing data analysis package
Reproducible, provenance-preserving CLI for archiving ENA raw sequencing data and metadata with resumable, verified downloads.
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