我的TAI：使用R进行进化转录组学研究
myTAI: evolutionary transcriptomics with R.
作者信息
Drost Hajk-Georg, Gabel Alexander, Liu Jialin, Quint Marcel, Grosse Ivo
机构信息
Sainsbury Laboratory Cambridge, University of Cambridge, Cambridge CB2 1LR, UK.
Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.
出版信息
Bioinformatics. 2018 May 1;34(9):1589-1590. doi: 10.1093/bioinformatics/btx835.
MOTIVATION
Next Generation Sequencing (NGS) technologies generate a large amount of high quality transcriptome datasets enabling the investigation of molecular processes on a genomic and metagenomic scale. These transcriptomics studies aim to quantify and compare the molecular phenotypes of the biological processes at hand. Despite the vast increase of available transcriptome datasets, little is known about the evolutionary conservation of those characterized transcriptomes.
RESULTS
The myTAI package implements exploratory analysis functions to infer transcriptome conservation patterns in any transcriptome dataset. Comprehensive documentation of myTAI functions and tutorial vignettes provide step-by-step instructions on how to use the package in an exploratory and computationally reproducible manner.
AVAILABILITY AND IMPLEMENTATION
The open source myTAI package is available at https://github.com/HajkD/myTAI and https://cran.r-project.org/web/packages/myTAI/index.html.
CONTACT
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
新一代测序（NGS）技术产生了大量高质量的转录组数据集，使得在基因组和宏基因组规模上研究分子过程成为可能。这些转录组学研究旨在量化和比较手头生物过程的分子表型。尽管可用的转录组数据集大量增加，但对于那些已表征转录组的进化保守性却知之甚少。
结果
myTAI软件包实现了探索性分析功能，以推断任何转录组数据集中的转录组保守模式。myTAI功能的全面文档和教程示例提供了有关如何以探索性和计算可重复的方式使用该软件包的分步说明。
可用性与实现
开源的myTAI软件包可在https://github.com/HajkD/myTAI和https://cran.r-project.org/web/packages/myTAI/index.html获取。
联系方式
补充信息
补充数据可在《生物信息学》在线获取。
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