Analyze CRISPR-induced mutations from sequencing data. The model supports multiple alignment strategies, classifies mutations (e.g., insertions, deletions, substitutions), and identifies the DNA repair pathways involved (NHEJ, HDR, MMEJ).
Estas cifras provienen de registros de catálogo guardados y no son estadísticas de uso en vivo.
Upload your sequencing data, and I'll perform quality control and alignment to a reference genome.
Would you like to detect mutations using global or local alignment for your CRISPR experiment?
I can classify detected mutations. Should I focus on frame-shift or missense mutations?
Shall I identify which DNA repair pathway (NHEJ, HDR, or MMEJ) is involved in your sample?
Would you like a detailed mutation report, including visualization of mutation densities and repair pathways?
Do you need guidance on selecting CRISPR/Cas tools for your next experiment?
Este GPT admite archivos adjuntos.
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