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Reconstructing ribosomal genes from large scale total RNA meta-transcriptomic data.
Bioinformatics ( IF 5.8 ) Pub Date : 2020-03-13 , DOI: 10.1093/bioinformatics/btaa177
Yaxin Xue 1 , Anders Lanzén 2, 3 , Inge Jonassen 1
Affiliation  

Technological advances in meta-transcriptomics have enabled a deeper understanding of the structure and function of microbial communities. ‘Total RNA’ meta-transcriptomics, sequencing of total reverse transcribed RNA, provides a unique opportunity to investigate both the structure and function of active microbial communities from all three domains of life simultaneously. A major step of this approach is the reconstruction of full-length taxonomic marker genes such as the small subunit ribosomal RNA. However, current tools for this purpose are mainly targeted towards analysis of amplicon and metagenomic data and thus lack the ability to handle the massive and complex datasets typically resulting from total RNA experiments.

中文翻译:

从大规模的总RNA亚转录组数据重建核糖体基因。

元转录组学的技术进步使人们对微生物群落的结构和功能有了更深入的了解。“总RNA”元转录组学,即总逆转录RNA的测序,提供了独特的机会来同时研究生活中所有三个领域的活性微生物群落的结构和功能。该方法的主要步骤是重建全长分类标记基因,例如小亚基核糖体RNA。但是,当前用于此目的的工具主要针对扩增子和宏基因组数据的分析,因此缺乏处理通常由总RNA实验产生的庞大而复杂的数据集的能力。
更新日期:2020-03-13
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