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BEAM 网络服务器:一种用于发现结构 RNA 基序的工具。

BEAM web server: a tool for structural RNA motif discovery.

机构信息

Centre for Molecular Bioinformatics, Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.

Department of Pharmacy and Biotechnology, University of Bologna Alma Mater, 40126 Bologna, Italy.

出版信息

Bioinformatics. 2018 Mar 15;34(6):1058-1060. doi: 10.1093/bioinformatics/btx704.

Abstract

MOTIVATION

RNA structural motif finding is a relevant problem that becomes computationally hard when working on high-throughput data (e.g. eCLIP, PAR-CLIP), often represented by thousands of RNA molecules. Currently, the BEAM server is the only web tool capable to handle tens of thousands of RNA in input with a motif discovery procedure that is only limited by the current secondary structure prediction accuracies.

RESULTS

The recently developed method BEAM (BEAr Motifs finder) can analyze tens of thousands of RNA molecules and identify RNA secondary structure motifs associated to a measure of their statistical significance. BEAM is extremely fast thanks to the BEAR encoding that transforms each RNA secondary structure in a string of characters. BEAM also exploits the evolutionary knowledge contained in a substitution matrix of secondary structure elements, extracted from the RFAM database of families of homologous RNAs. The BEAM web server has been designed to streamline data pre-processing by automatically handling folding and encoding of RNA sequences, giving users a choice for the preferred folding program. The server provides an intuitive and informative results page with the list of secondary structure motifs identified, the logo of each motif, its significance, graphic representation and information about its position in the RNA molecules sharing it.

AVAILABILITY AND IMPLEMENTATION

The web server is freely available at http://beam.uniroma2.it/ and it is implemented in NodeJS and Python with all major browsers supported.

CONTACT

marco.pietrosanto@uniroma2.it.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

RNA 结构基序发现是一个相关的问题,当处理高通量数据(例如 eCLIP、PAR-CLIP)时,计算难度很大,这些数据通常由数千个 RNA 分子表示。目前,BEAM 服务器是唯一能够处理数以万计输入 RNA 的网络工具,其基序发现过程仅受当前二级结构预测精度的限制。

结果

最近开发的方法 BEAM(BEAr Motifs finder)可以分析数以万计的 RNA 分子,并识别与统计显著性相关的 RNA 二级结构基序。BEAM 非常快,这要归功于 BEAR 编码,它将每个 RNA 二级结构转换为字符字符串。BEAM 还利用了从同源 RNA 家族 RFAM 数据库中提取的二级结构元素替换矩阵中包含的进化知识。BEAM 网络服务器旨在通过自动处理 RNA 序列的折叠和编码来简化数据预处理,为用户提供首选折叠程序的选择。该服务器提供了一个直观且信息丰富的结果页面,其中列出了识别出的二级结构基序、每个基序的徽标、其显著性、图形表示以及有关其在共享该基序的 RNA 分子中的位置的信息。

可用性和实现

该网络服务器可免费在 http://beam.uniroma2.it/ 使用,它是用 NodeJS 和 Python 实现的,支持所有主流浏览器。

联系方式

marco.pietrosanto@uniroma2.it

补充信息

补充数据可在 Bioinformatics 在线获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1434/5860439/1e2b8458c719/btx704f1.jpg

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