Startek Michał Piotr, Nogły Jakub, Gromadka Agnieszka, Grzebelus Dariusz, Gambin Anna
Institute of Informatics, University of Warsaw, Banacha 2, Warsaw, 02097, Poland.
Institute of Plant Biology and Biotechnology, University of Agriculture in Kraków, 29 Listopada 54, Kraków, 31425, Poland.
BMC Bioinformatics. 2017 Oct 16;18(Suppl 12):422. doi: 10.1186/s12859-017-1824-4.
The constant progress in sequencing technology leads to ever increasing amounts of genomic data. In the light of current evidence transposable elements (TEs for short) are becoming useful tools for learning about the evolution of host genome. Therefore the software for genome-wide detection and analysis of TEs is of great interest.
Here we describe the computational tool for mining, classifying and storing TEs from newly sequenced genomes. This is an online, web-based, user-friendly service, enabling users to upload their own genomic data, and perform de-novo searches for TEs. The detected TEs are automatically analyzed, compared to reference databases, annotated, clustered into families, and stored in TEs repository. Also, the genome-wide nesting structure of found elements are detected and analyzed by new method for inferring evolutionary history of TEs. We illustrate the functionality of our tool by performing a full-scale analyses of TE landscape in Medicago truncatula genome.
TRANScendence is an effective tool for the de-novo annotation and classification of transposable elements in newly-acquired genomes. Its streamlined interface makes it well-suited for evolutionary studies.
测序技术的不断进步导致基因组数据量不断增加。根据目前的证据,转座元件(简称TEs)正成为了解宿主基因组进化的有用工具。因此,用于全基因组检测和分析TEs的软件备受关注。
在此,我们描述了一种用于从新测序基因组中挖掘、分类和存储TEs的计算工具。这是一项基于网络的在线用户友好型服务,用户能够上传自己的基因组数据,并对TEs进行从头搜索。检测到的TEs会自动进行分析,与参考数据库进行比较,注释,聚类成家族,并存储在TEs库中。此外,通过推断TEs进化历史的新方法,检测并分析所发现元件的全基因组嵌套结构。我们通过对蒺藜苜蓿基因组中的TE景观进行全面分析来说明我们工具的功能。
TRANScendence是一种用于新获得基因组中转座元件的从头注释和分类的有效工具。其简化的界面使其非常适合进化研究。