Synthetic Biology Centre for Doctoral Training.
School of Life Sciences.
Bioinformatics. 2018 Dec 1;34(23):4134-4137. doi: 10.1093/bioinformatics/bty447.
With the rapid accumulation of sequencing data from genomic and metagenomic studies, there is an acute need for better tools that facilitate their analyses against biological functions. To this end, we developed MetQy, an open-source R package designed for query-based analysis of functional units in [meta]genomes and/or sets of genes using the The Kyoto Encyclopedia of Genes and Genomes (KEGG). Furthermore, MetQy contains visualization and analysis tools and facilitates KEGG's flat file manipulation. Thus, MetQy enables better understanding of metabolic capabilities of known genomes or user-specified [meta]genomes by using the available information and can help guide studies in microbial ecology, metabolic engineering and synthetic biology.
The MetQy R package is freely available and can be downloaded from our group's website (http://osslab.lifesci.warwick.ac.uk) or GitHub (https://github.com/OSS-Lab/MetQy).
随着基因组学和宏基因组学研究中测序数据的快速积累，人们迫切需要更好的工具来帮助他们针对生物功能对这些数据进行分析。为此，我们开发了 MetQy，这是一个开源的 R 包，旨在使用京都基因与基因组百科全书（KEGG）对 [宏]基因组和/或基因集的功能单元进行基于查询的分析。此外，MetQy 还包含可视化和分析工具，并简化了 KEGG 的平面文件操作。因此，MetQy 可以利用现有信息更好地了解已知基因组或用户指定的 [宏]基因组的代谢能力，并有助于指导微生物生态学、代谢工程和合成生物学的研究。
MetQy R 包是免费提供的，可以从我们的小组网站（http://osslab.lifesci.warwick.ac.uk）或 GitHub（https://github.com/OSS-Lab/MetQy）下载。
