Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742-3360, USA, and Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721-0088, USA
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742-3360, USA, and Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, 85721-0088, USA.
Syst Biol. 2014 Sep;63(5):812-8. doi: 10.1093/sysbio/syu031. Epub 2014 Apr 30.
We introduce molecularevolution.org, a publicly available gateway for high-throughput, maximum-likelihood phylogenetic analysis powered by grid computing. The gateway features a garli 2.0 web service that enables a user to quickly and easily submit thousands of maximum likelihood tree searches or bootstrap searches that are executed in parallel on distributed computing resources. The garli web service allows one to easily specify partitioned substitution models using a graphical interface, and it performs sophisticated post-processing of phylogenetic results. Although the garli web service has been used by the research community for over three years, here we formally announce the availability of the service, describe its capabilities, highlight new features and recent improvements, and provide details about how the grid system efficiently delivers high-quality phylogenetic results.
我们介绍 molecularevolution.org，这是一个公共网关，提供基于网格计算的高通量、最大似然系统发育分析。该网关的特色是 garli 2.0 网络服务，它允许用户快速轻松地提交数千个最大似然树搜索或引导搜索，这些搜索在分布式计算资源上并行执行。garli 网络服务允许用户使用图形界面轻松指定分区替代模型，并对系统发育结果进行复杂的后处理。虽然 garli 网络服务已经被研究界使用了三年多，但在这里我们正式宣布该服务的可用性，描述其功能，突出新的特点和最近的改进，并提供有关网格系统如何有效地提供高质量系统发育结果的详细信息。
