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Bioinformatics pipeline for analyzing long-read amplicon sequencing data to detect large-scale unintended genomic alterations (structural variants) resulting from CRISPR/Cas9 editing in patient-derived cells.
Defensibility
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LongAmpseq is a classic example of 'paper-ware'—a repository created to host the analysis scripts for a specific scientific publication (in this case, from the Bao Lab at Rice University regarding CRISPR safety in Sickle Cell Disease). With only 2 stars and a 5-year period of inactivity, it lacks the momentum or community required for a defensible software project. Its defensibility is near zero as it is a specific set of scripts rather than a generalized tool. In the competitive landscape of CRISPR analysis, it has been largely superseded by more robust, maintained frameworks like CRISPResso2 or specialized structural variant callers like Sniffles and CuteSV. While the scientific insights it generated were valuable for the gene therapy field, the code itself is a static artifact of a specific experiment. Frontier labs have no interest in this niche, but the project is highly vulnerable to displacement by any modern, well-maintained bioinformatics pipeline that handles long-read data more efficiently.
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