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转录组直系同源比对序列工具(TOAST)用于系统发育基因组数据集组装。

Transcriptome Ortholog Alignment Sequence Tools (TOAST) for phylogenomic dataset assembly.

机构信息

Department of Molecular Biomedical Sciences, NC State University, Raleigh, NC, USA.

Comparative Medicine Institute, NC State University, Raleigh, NC, USA.

出版信息

BMC Evol Biol. 2020 Mar 30;20(1):41. doi: 10.1186/s12862-020-01603-w.

Abstract

BACKGROUND

Advances in next-generation sequencing technologies have reduced the cost of whole transcriptome analyses, allowing characterization of non-model species at unprecedented levels. The rapid pace of transcriptomic sequencing has driven the public accumulation of a wealth of data for phylogenomic analyses, however lack of tools aimed towards phylogeneticists to efficiently identify orthologous sequences currently hinders effective harnessing of this resource.

RESULTS

We introduce TOAST, an open source R software package that can utilize the ortholog searches based on the software Benchmarking Universal Single-Copy Orthologs (BUSCO) to assemble multiple sequence alignments of orthologous loci from transcriptomes for any group of organisms. By streamlining search, query, and alignment, TOAST automates the generation of locus and concatenated alignments, and also presents a series of outputs from which users can not only explore missing data patterns across their alignments, but also reassemble alignments based on user-defined acceptable missing data levels for a given research question.

CONCLUSIONS

TOAST provides a comprehensive set of tools for assembly of sequence alignments of orthologs for comparative transcriptomic and phylogenomic studies. This software empowers easy assembly of public and novel sequences for any target database of candidate orthologs, and fills a critically needed niche for tools that enable quantification and testing of the impact of missing data. As open-source software, TOAST is fully customizable for integration into existing or novel custom informatic pipelines for phylogenomic inference. Software, a detailed manual, and example data files are available through github carolinafishes.github.io.

摘要

背景

下一代测序技术的进步降低了全转录组分析的成本,使得对非模式物种的特征描述达到了前所未有的水平。转录组测序的快速发展推动了大量数据的公共积累,用于系统发育分析,但缺乏针对系统发育学家的工具,无法有效地识别直系同源序列,这在一定程度上阻碍了对这一资源的有效利用。

结果

我们引入了 TOAST,这是一个开源的 R 软件包,可以利用基于软件 Benchmarking Universal Single-Copy Orthologs (BUSCO)的直系同源搜索,从任何生物体的转录组中组装直系同源基因座的多重序列比对。通过简化搜索、查询和比对,TOAST 可以自动生成基因座和串联比对,并提供一系列输出,用户不仅可以从这些输出中探索其比对中的缺失数据模式,还可以根据给定研究问题中用户定义的可接受缺失数据水平重新组装比对。

结论

TOAST 为比较转录组学和系统发育学研究中的直系同源序列比对组装提供了一套全面的工具。该软件能够轻松组装公共和新序列,以构建任何候选直系同源物的目标数据库,并为量化和测试缺失数据的影响提供了急需的工具。作为一个开源软件,TOAST可以完全定制,以集成到现有的或新的自定义计算信息学管道中,用于系统发育推断。软件、详细的用户手册和示例数据文件可通过 github carolinafishes.github.io 获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/734b/7106827/06cd679beaf2/12862_2020_1603_Fig1_HTML.jpg

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