HKU-BAL/Clair3
Clair3 - Symphonizing pileup and full-alignment for deep learning-based long-read variant calling
This tool helps genetics researchers and genomic scientists accurately identify small genetic variations like SNPs and indels in individual DNA samples using long-read sequencing data. It takes aligned long-read sequencing data (BAM files) as input and produces a list of identified genetic variants (VCF/GVCF files), which are crucial for understanding genetic diseases or population diversity. It is designed for those working with germline variant calling.
343 stars.
Use this if you need a fast and accurate way to identify germline small genetic variants from long-read sequencing data, especially with lower sequencing coverage.
Not ideal if you are working with RNA-seq samples, somatic variants from tumor-normal pairs, or tumor-only samples, as specialized versions (Clair3-RNA, ClairS, ClairS-TO) are available for those tasks.
Stars
343
Forks
36
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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