Yupeng Cun, Tsun-Po Yang, Viktor Achter*, Ulrich Lang, Martin Peifer, Copy number analysis and inference of subclonal populations in cancer genomes using Sclust. Nature Protocols, 2018，DOI: 10.1038/nprot.2018.033
Sclust download link: rj.run/downloads/Sclust.tgz)
Frequent Q&A on Sclust software package uses：
Our new methods final launched on Nature Protocols, where we developed a series of methods and related C++/R combined software package, Sclust（around 1.5Gb,大文件谨慎载）. In Sclust, you can do copy number calling, cancer tissue purity estimating and clone and subclone structure inferring from normal-tumor paired whole genome/exon sequencing data.
先总结一下，我们方法的有如下点：
1. 可以准确地做copy number calling， tumor purity estimating，subclonal inferring；
2. subclonal inferring的速度超级快。4000~6000 个SNVs 的 clonal inferring 过程在个人电脑上只需3到5秒。
3. sclust 给出了每个集群的倍数树变异，目前只有少数个软件提供这个功能。
欢迎使用软件，欢迎咨询，欢迎交流。
联系邮件：yp.cun@outlook.com。 下面是clonal 推断一些背景。
A lot of my ideas about Machine Learning come from Quantum Mechanical Perturbation Theory. To provide some context, we need to step back and understand that the familiar techniques of Machine Lear…
计算基因组学研究组 