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GToTree: a user-friendly workflow for phylogenomics

机译:gtotree:系统友好的系统友好工作流程

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摘要

Genome-level evolutionary inference (i.e. phylogenomics) is becoming an increasingly essential step in many biologists' work. Accordingly, there are several tools available for the major steps in a phylogenomics workflow. But for the biologist whose main focus is not bioinformatics, much of the computational work required-such as accessing genomic data on large scales, integrating genomes from different file formats, performing required filtering, stitching different tools together etc.-can be prohibitive. Here I introduce GToTree, a command-line tool that can take any combination of fasta files, GenBank files and/or NCBI assembly accessions as input and outputs an alignment file, estimates of genome completeness and redundancy, and a phylogenomic tree based on a specified single-copy gene (SCG) set. Although GToTree can work with any custom hidden Markov Models (HMMs), also included are 13 newly generated SCG-set HMMs for different lineages and levels of resolution, built based on searches of similar to 12 000 bacterial and archaeal high-quality genomes. GToTree aims to give more researchers the capability to make phylogenomic trees.
机译:基因组水平进化推理(即文学MOMICS)正在成为许多生物学家的工作中越来越重要的一步。因此,有几种可用于系统源MOMORS工作流程中的主要步骤的工具。但是对于主要重点不是生物信息学的生物学家,所需的大部分计算工作 - 例如访问大规模上的基因组数据,从不同的文件格式集成基因组,执行所需的滤波,拼接不同的工具等 - 可以是禁止的。在这里,我介绍了Gtotree,一个命令行工具,可以将FastA文件,GenBank文件和/或NCBI装配序列的任何组合作为输入,并输出基于指定的基因组完整性和冗余的对齐文件,估计单拷贝基因(SCG)设置。尽管GTotree可以使用任何自定义隐藏的Markov模型(HMMS),但是还包括13个新生成的SCG集合HMMS,用于不同的谱系和分辨率的水平,基于类似于12 000个细菌和古代高质量基因组的搜索构建。 GTotree旨在给予更多研究人员制作系统染子树木的能力。

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