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Development and implementation of CARAS algorithm for automatic annotation, visualization, and GenBank submission of chloroplast genome sequences

机译:用于自动注解,可视化和GenBank提交叶绿体基因组序列的CARAS算法的开发和实现

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We present CARAS, a web server that allows the automatic annotation of a chloroplast genome sequence, and the visualization and editing of the annotation results interactively and in real-time. CARAS accepts a complete chloroplast genome sequence as input. First, it accurately predicts protein-coding sequences and exon-intron structures by combining the results from two types of annotation approaches: ab initio prediction algorithms and similarity based methods. Second, tRNA genes and inverted repeats are identified using tRNAscan and vmatch. Using 220 chloroplast genome sequences as test, we show that CARAS outperforms a similar application DOGMA overall. Third, the annotation results are presented as a circular map that includes the name, location, orientation, and length of the various features. A Flex-based module is implemented, allowing the users to add, delete, and edit the features on-line. The results are stored on the server and can be retrieved from a given URL. Users also have options to download the annotation results in GFF3 format for further analyses in other third party software tools or in JPEG format for publication. Finally, CARAS can be used to create a Sequin file for GenBank submission of the annotated genome sequence. CARAS is freely available at http://caras.bicoup.com, and it will significantly facilitate research work involving chloroplast genomes.
机译:我们提出了CARAS,这是一个网络服务器,它允许对叶绿体基因组序列进行自动注释,并且可以交互方式实时地对注释结果进行可视化和编辑。 CARAS接受完整的叶绿体基因组序列作为输入。首先,它通过结合两种注释方法的结果准确地预测蛋白质编码序列和外显子-内含子结构:从头算预测算法和基于相似性的方法。其次,使用tRNAscan和vmatch鉴定tRNA基因和反向重复序列。使用220个叶绿体基因组序列作为测试,我们显示CARAS总体上胜过类似的应用DOGMA。第三,注释结果以圆形图的形式显示,其中包括各种要素的名称,位置,方向和长度。实现了基于Flex的模块,允许用户在线添加,删除和编辑功能。结果存储在服务器上,可以从给定的URL检索。用户还可以选择以GFF3格式下载注释结果,以使用其他第三方软件工具或JPEG格式进行进一步分析,以进行发布。最后,CARAS可用于创建一个Sequin文件,用于GenBank提交带注释的基因组序列。 CARAS可从http://caras.bicoup.com免费获得,它将大大促进涉及叶绿体基因组的研究工作。

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