Monat Cecile, Tando Ndomassi, Tranchant-Dubreuil Christine, Sabot Francois
UMR DIADE IRD/UM, IRD , Montpellier Cedex 5 , France.
Mob Genet Elements. 2016 Sep 26;6(6):e1241050. doi: 10.1080/2159256X.2016.1241050. eCollection 2016.
Automatic classification of LTR retrotransposons is a big challenge in the area of massive genomics. Many tools were developed to detect them but automatic classification is somehow challenging. Here we propose a simple approach, , based on recognition followed by analyses () to classify plant LTR retrotransposons in their respective superfamily, and () to provide automatically a basic functional annotation of these elements. The method was tested on various TE databases, and shown to be robust and fast. This tool is available as a web service implemented at IRD bioinformatics facility, http://LTRclassifier.ird.fr/.
长末端重复序列(LTR)逆转录转座子的自动分类是大规模基因组学领域的一项重大挑战。人们开发了许多工具来检测它们,但自动分类在某种程度上具有挑战性。在此,我们提出一种简单的方法,该方法基于识别,随后进行分析,以将植物LTR逆转录转座子分类到它们各自的超家族中,并自动提供这些元件的基本功能注释。该方法在各种转座元件(TE)数据库上进行了测试,结果表明它既稳健又快速。此工具作为一项网络服务,在法国国家农业研究院(IRD)生物信息学设施网站http://LTRclassifier.ird.fr/ 上提供。