Article
ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest.
PLoS computational biology - 1 Dec 2019
Li Jiajin, Jew Brandon, Zhan Lingyu, Hwang Sungoo, Coppola Giovanni, Freimer Nelson B, Sul Jae Hoon
Abstract excerpt
Next-generation sequencing technology (NGS) enables the discovery of nearly all genetic variants present in a genome. A subset of these variants, however, may have poor sequencing quality due to limitations in NGS or variant callers. In genetic studies that analyze a large number of sequenced individuals, it is critical to detect and remove those variants with poor quality as they may cause spurious findings. In...
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