HAT: de novo variant calling for highly accurate short-read and long-read sequencing data.
HAT: de novo variant calling for highly accurate short-read and long-read sequencing data.
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HAT:从头变体调用,需要高度准确的短读长和长读长测序数据。
DOI:
10.1101/2023.01.27.525940
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发表时间:
2023
期刊:
影响因子:
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通讯作者:
Turner,TycheleN
中科院分区:
文献类型:
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作者:
Ng,JeffreyK;Turner,TycheleN
Motivationde novovariants (DNVs) are variants that are present in offspring but not in their parents. DNVs are both important for examining mutation rates as well as in the identification of disease-related variation. While efforts have been made to call DNVs, calling of DNVs is still challenging from parent–child sequenced trio data. We developedHareAndTortoise (HAT) as an automated DNV detection workflow for highly accurate short-read and long-read sequencing data. Reliable detection of DNVs is important for human genomics and HAT addresses this need.ResultsHAT is a computational workflow that begins with aligned read data (i.e. CRAM or BAM) from a parent–child sequenced trio and outputs DNVs. HAT detects high-quality DNVs from Illumina short-read whole-exome sequencing, Illumina short-read whole-genome sequencing, and highly accurate PacBio HiFi long-read whole-genome sequencing data. The quality of these DNVs is high based on a series of quality metrics including number of DNVs per individual, percent of DNVs at CpG sites, and percent of DNVs phased to the paternal chromosome of origin.Availability and implementationhttps://github.com/TNTurnerLab/HAT