Norri Tuukka, Mäkinen Veli
Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, FI-00014 Helsinki, Finland.
Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland.
Bioinform Adv. 2024 Mar 4;4(1):vbae027. doi: 10.1093/bioadv/vbae027. eCollection 2024.
Overcoming reference bias and calling insertions and deletions are major challenges in genotyping. We present , a set of software that can be utilized as part of various variant calling workflows. We show that, by incorporating known genetic variants to a set of founder sequences to which reads are aligned, reference bias is reduced and precision of calling insertions and deletions is improved.
PanVC 3 and its source code are freely available at https://github.com/tsnorri/panvc3 and at https://anaconda.org/tsnorri/panvc3 under the MIT licence. The experiment scripts are available at https://github.com/algbio/panvc3-experiments.
克服参考偏差以及识别插入和缺失是基因分型中的主要挑战。我们展示了一套软件,可作为各种变异识别工作流程的一部分使用。我们表明,通过将已知遗传变异整合到一组供体序列(reads与之比对的序列)中,参考偏差得以减少,识别插入和缺失的精度得以提高。