VCF2Networks：将基因型网络应用于单核苷酸变体数据
VCF2Networks: applying Genotype Networks to Single Nucleotide Variants data
摘要：
总结：基因型网络是系统生物学中用于研究给定表型的创新性的方法，确定表型是否对突变具有鲁棒性，以及与之相关的基因型如何在基因型空间中分布。在这里，我们开发了VCF 2网络，一种将这种方法应用于群体遗传学数据的工具，特别是编码在变体调用文件格式（VCF）中的单核苷酸变体数据。补充材料1中给出了可以通过VCF2Networks计算的基因型网络的属性的完整总结。可用性和实施：该项目的主页是https://bitbucket.org/dalloliogm/vcf2networks。VCF2Networks也可以直接从Python包索引（PyPI）获得，名称为vcf2networks。
英文摘要：
Summary: Genotype networks are a method used in systems biology to study the innovability of a given phenotype, determining whether the phenotype is robust to mutations, and how do the genotypes associated to it are distributed in the genotype space. Here we developed VCF2Networks, a tool to apply this method to population genetics data, and in particular to single Nucleotide Variants data encoded in the Variant Call file Format (VCF). A complete summary of the properties of the genotype network that can be calculated by VCF2Networks is given in the Supplementary Materials 1. Availability and Implementation: The home page of the project is https://bitbucket.org/dalloliogm/vcf2networks . VCF2Networks is also available directly from the Python Package Index (PyPI), under the name vcf2networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
