谷歌浏览器插件
订阅小程序
在清言上使用

Virotest: a bioinformatics pipeline for virus identification in plants

bioRxiv (Cold Spring Harbor Laboratory)(2023)

引用 0|浏览2
暂无评分
摘要
High-throughput DNA sequencing is being introduced as an emerging technology for viral diagnosis. Despite several tools being available, lack of standardized bioinformatic pipelines and price are major limitations for its implementation. Many extant tools focus on the assembly of virus-derived small RNAs into contigs and their subsequent annotation. Better sensitivity has been reported by several studies when this approach is complemented with read mapping on known viral genome sequences as an ancillary step, requiring less number of reads and allowing price optimization during DNA sequencing. This publication introduces virotest , a bioinformatics pipeline for the identification of viruses in plants from small RNA data. The tool prioritizes read mapping over sequence assembly for the purpose of obtaining better sensitivities and requiring lower sequencing depths. ### Competing Interest Statement The authors have declared no competing interest.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要