Computational Oncology Group, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain.
Bioinformatics. 2022 Jul 11;38(14):3638-3641. doi: 10.1093/bioinformatics/btac371.
Selecting the optimal cancer cell line for an experiment can be challenging given the diversity of lines available. Here, we present CNpare, which identifies similar cell line models based on genome-wide DNA copy number.
CNpare is available as an R package at https://github.com/macintyrelab/CNpare. All analysis performed in the manuscript can be reproduced via the code found at https://github.com/macintyrelab/CNpare_analyses.
Supplementary data are available at Bioinformatics online.
鉴于现有细胞系的多样性,要为实验选择最佳的癌细胞系可能具有挑战性。在这里,我们提出了 CNpare,它可以根据全基因组 DNA 拷贝数识别相似的细胞系模型。
CNpare 可作为 R 包在 https://github.com/macintyrelab/CNpare 上获得。本文中进行的所有分析都可以通过位于 https://github.com/macintyrelab/CNpare_analyses 的代码重现。
补充数据可在生物信息学在线获得。