后转座子
转座因子
基因组
生物
拟南芥
换位(逻辑)
遗传学
计算生物学
长终端重复
拟南芥
基因组进化
管道(软件)
基因
计算机科学
突变体
人工智能
程序设计语言
作者
Ilya Kirov,Pavel Merkulov,Maxim Dudnikov,Ekaterina Polkhovskaya,Р. А. Комахин,Zakhar S. Konstantinov,Sofya Gvaramiya,Aleksey Ermolaev,Natalia Kudryavtseva,Marina Gilyok,М.Г. Дивашук,Gennady I. Karlov,Alexander Soloviev
出处
期刊:Plants
[Multidisciplinary Digital Publishing Institute]
日期:2021-12-06
卷期号:10 (12): 2681-2681
被引量:11
标识
DOI:10.3390/plants10122681
摘要
Long-read data is a great tool to discover new active transposable elements (TEs). However, no ready-to-use tools were available to gather this information from low coverage ONT datasets. Here, we developed a novel pipeline, nanotei, that allows detection of TE-contained structural variants, including individual TE transpositions. We exploited this pipeline to identify TE insertion in the
科研通智能强力驱动
Strongly Powered by AbleSci AI