NICTA Victoria Research Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Parkville and Monash Institute of Medical Research, Monash University, Clayton, Australia.
Bioinformatics. 2012 Jun 15;28(12):i172-8. doi: 10.1093/bioinformatics/bts236.
Shotgun sequence read data derived from xenograft material contains a mixture of reads arising from the host and reads arising from the graft. Classifying the read mixture to separate the two allows for more precise analysis to be performed.
We present a technique, with an associated tool Xenome, which performs fast, accurate and specific classification of xenograft-derived sequence read data. We have evaluated it on RNA-Seq data from human, mouse and human-in-mouse xenograft datasets.
Xenome is available for non-commercial use from http://www.nicta.com.au/bioinformatics.
来自异种移植材料的 shotgun 序列读取数据包含来自宿主和来自移植物的读取的混合物。将读取混合物分类以分离两者，可以进行更精确的分析。
我们提出了一种技术，以及一种相关的工具 Xenome，它可以快速、准确和特异性地对异种移植衍生的序列读取数据进行分类。我们已经在来自人类、小鼠和人源化小鼠异种移植数据集的 RNA-Seq 数据上对其进行了评估。
Xenome 可从 http://www.nicta.com.au/bioinformatics 非商业使用。
