Interactive web-based identification and visualization of transcript shared sequences.
Interactive web-based identification and visualization of transcript shared sequences.
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基于网络的交互式转录本共享序列识别和可视化。
DOI：
10.1016/j.ygeno.2018.05.010
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发表时间：
2019
期刊：
影响因子：
4.4
通讯作者：
Nauen,DavidW
中科院分区：
文献类型：
--
作者：
Azhir,Alaleh;Merino,Louis-Henri;Nauen,DavidW
我们开发了TraC (Transcript Consensus)，这是一个基于网络的工具，用于检测和可视化两个或多个mRNA转录物（如剪接变体）之间的共享序列。包括外显子-外显子边界在内的结果以高度直观、数据丰富的交互式图返回，允许用户探索多个转录序列的相似性和差异性。在线工具（http://labs.pathology.jhu.edu/nauen/trac/）可免费使用。源代码可以免费下载（https://github.com/nauenlab/TraC）。
We have developed TraC (Transcript Consensus), a web-based tool for detecting and visualizing shared sequences among two or more mRNA transcripts such as splice variants. Results including exon-exon boundaries are returned in a highly intuitive, data-rich, interactive plot that permits users to explore the similarities and differences of multiple transcript sequences. The online tool (http://labs.pathology.jhu.edu/nauen/trac/) is free to use. The source code is freely available for download (https://github.com/nauenlab/TraC).