Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
Computational and Systems Biology, Genome Institute of Singapore, Singapore 138672, Singapore.
Bioinformatics. 2017 Jul 1;33(13):2056-2058. doi: 10.1093/bioinformatics/btx075.
To enable direct comparison of ancestry background in different studies, we developed LASER to estimate individual ancestry by placing either sezquenced or genotyped samples in a common ancestry space, regardless of the sequencing strategy or genotyping array used to characterize each sample. Here we describe the LASER server to facilitate application of the method to a wide range of genetic studies. The server provides genetic ancestry estimation for different geographic regions and user-friendly interactive visualization of the results.
The LASER server is freely accessible at http://laser.sph.umich.edu/.
dtaliun@umich.edu or wangcl@gis.a-star.edu.sg.
Supplementary data are available at Bioinformatics online.
为了能够在不同的研究中直接比较祖先背景,我们开发了 LASER 方法,通过将测序或基因分型样本置于共同的祖先空间中,无论用于描述每个样本的测序策略或基因分型阵列如何,都可以估计个体的祖先。在这里,我们描述了 LASER 服务器,以方便将该方法应用于广泛的遗传研究。该服务器为不同的地理区域提供遗传祖先估计,并提供用户友好的交互式结果可视化。
LASER 服务器可免费访问,网址为 http://laser.sph.umich.edu/。
dtaliun@umich.edu 或 wangcl@gis.a-star.edu.sg。
补充数据可在《生物信息学》在线获取。