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Ebbie : automated analysis and storage of small RNA cloning data using a dynamic web server

机译:Ebbie:使用动态Web服务器自动分析和存储小RNA克隆数据

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Background DNA sequencing is used ubiquitously: from deciphering genomes[ 1 ] to determining the primary sequence of small RNAs (smRNAs) [ 2 – 5 ]. The cloning of smRNAs is currently the most conventional method to determine the actual sequence of these important regulators of gene expression. Typical smRNA cloning projects involve the sequencing of hundreds to thousands of smRNA clones that are delimited at their 5' and 3' ends by fixed sequence regions. These primers result from the biochemical protocol used to isolate and convert the smRNA into clonable PCR products. Recently we completed a smRNA cloning project involving tobacco plants, where analysis was required for ~700 smRNA sequences[ 6 ]. Finding no easily accessible research tool to enter and analyze smRNA sequences we developed Ebbie to assist us with our study. Results Ebbie is a semi-automated smRNA cloning data processing algorithm, which initially searches for any substring within a DNA sequencing text file, which is flanked by two constant strings. The substring, also termed smRNA or insert, is stored in a MySQL and BlastN database. These inserts are then compared using BlastN to locally installed databases allowing the rapid comparison of the insert to both the growing smRNA database and to other static sequence databases. Our laboratory used Ebbie to analyze scores of DNA sequencing data originating from an smRNA cloning project[ 6 ]. Through its built-in instant analysis of all inserts using BlastN, we were able to quickly identify 33 groups of smRNAs from ~700 database entries. This clustering allowed the easy identification of novel and highly expressed clusters of smRNAs. Ebbie is available under GNU GPL and currently implemented on http://bioinformatics.org/ebbie/ Conclusion Ebbie was designed for medium sized smRNA cloning projects with about 1,000 database entries [ 6 – 8 ]. Ebbie can be used for any type of sequence analysis where two constant primer regions flank a sequence of interest. The reliable storage of inserts, and their annotation in a MySQL database, BlastN[ 9 ] comparison of new inserts to dynamic and static databases make it a powerful new tool in any laboratory using DNA sequencing. Ebbie also prevents manual mistakes during the excision process and speeds up annotation and data-entry. Once the server is installed locally, its access can be restricted to protect sensitive new DNA sequencing data. Ebbie was primarily designed for smRNA cloning projects, but can be applied to a variety of RNA and DNA cloning projects[ 2 , 3 , 10 , 11 ].
机译:背景技术DNA测序被广泛使用:从解密基因组[1]到确定小RNA(smRNA)的一级序列[2-5]。 smRNA的克隆是目前确定这些基因表达重要调控因子实际序列的最常规方法。典型的smRNA克隆项目涉及数百到数千个smRNA克隆的测序,这些克隆在其5'和3'末端由固定序列区域分隔。这些引物来自用于分离smRNA并将其转化为可克隆PCR产物的生化方案。最近,我们完成了一个涉及烟草植物的smRNA克隆项目,该项目需要分析约700个smRNA序列[6]。没有找到可轻易进入的研究工具来输入和分析smRNA序列,我们开发了Ebbie来协助我们的研究。结果Ebbie是一种半自动化的smRNA克隆数据处理算法,该算法最初在DNA测序文本文件中搜索任何子字符串,该文件的两侧是两个恒定字符串。子字符串,也称为smRNA或插入,存储在MySQL和BlastN数据库中。然后使用BlastN将这些插入片段与本地安装的数据库进行比较,从而可以将插入片段与生长中的smRNA数据库和其他静态序列数据库进行快速比较。我们的实验室使用Ebbie分析了源自smRNA克隆项目的DNA测序数据的得分[6]。通过使用BlastN对所有插入片段进行的内置即时分析,我们能够从约700个数据库条目中快速识别出33组smRNA。该聚类允许容易鉴定smRNA的新颖且高度表达的簇。 Ebbie在GNU GPL下可用,并且当前在http://bioinformatics.org/ebbie/上实现。结论Ebbie是为具有大约1,000个数据库条目的中型smRNA克隆项目而设计的[6-8]。 Ebbie可用于任何类型的序列分析,其中两个恒定引物区域位于目标序列的侧面。插入物的可靠存储及其在MySQL数据库中的注释,BlastN [9]将新插入物与动态数据库和静态数据库进行比较,使其在使用DNA测序的任何实验室中均成为强大的新工具。 Ebbie还可以防止在切除过程中出现人为错误,并加快注释和数据输入的速度。一旦在本地安装了服务器,就可以限制其访问以保护敏感的新DNA测序数据。 Ebbie最初是为smRNA克隆项目设计的,但可以应用于各种RNA和DNA克隆项目[2、3、10、11]。

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