Spielman Stephanie J, Kosakovsky Pond Sergei L
Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States of America.
PeerJ. 2018 Feb 5;6:e4339. doi: 10.7717/peerj.4339. eCollection 2018.
We introduce LEISR (Likehood Estimation of Individual Site Rates, pronounced "laser"), a tool to infer relative evolutionary rates from protein and nucleotide data, implemented in HyPhy. LEISR is based on the popular Rate4Site (Pupko et al., 2002) approach for inferring relative site-wise evolutionary rates, primarily from protein data. We extend the original method for more general use in several key ways: (i) we increase the support for nucleotide data with additional models, (ii) we allow for datasets of arbitrary size, (iii) we support analysis of site-partitioned datasets to correct for the presence of recombination breakpoints, (iv) we produce rate estimates at all sites rather than at just a subset of sites, and (v) we implemented LEISR as MPI-enabled to support rapid, high-throughput analysis. LEISR is available in HyPhy starting with version 2.3.8, and it is accessible as an option in the HyPhy analysis menu ("Relative evolutionary rate inference"), which calls the HyPhy batchfile LEISR.bf.
我们引入了LEISR(个体位点速率似然估计,发音为“laser”),这是一种用于从蛋白质和核苷酸数据推断相对进化速率的工具,在HyPhy中实现。LEISR基于流行的Rate4Site(Pupko等人,2002年)方法,主要从蛋白质数据推断相对位点进化速率。我们通过几种关键方式对原始方法进行了扩展,以实现更广泛的应用:(i)通过额外的模型增加对核苷酸数据的支持;(ii)允许处理任意大小的数据集;(iii)支持对位点划分的数据集进行分析,以校正重组断点的存在;(iv)在所有位点而不仅仅是部分位点产生速率估计;(v)我们将LEISR实现为支持MPI,以支持快速、高通量分析。从2.3.8版本开始,LEISR可在HyPhy中使用,并且可以在HyPhy分析菜单(“相对进化速率推断”)中作为一个选项访问,该菜单调用HyPhy批处理文件LEISR.bf。