Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

HIGHLIGHTS

• who: Posted Date, September and Read Full, License from the University of have published the paper: Symphonizing pileup and full-alignment for deep learning-based long-read variant calling, in the Journal: (JOURNAL)
• how: The authors used hap.py14 to compare the called variants against the true variants and used Clair3`s u2018GetOverallMetrics` module to generate three metrics u2018precision` u2018recall` and u2018F1-score` for five categories u2018overall` u2018SNP` `Indel` u2018Insertion` and u2018Deletion`.

SUMMARY

Deep learning-based variant callers are becoming the standard and have achieved superior SNP calling performance using long . . .

 



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