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首页> 外文期刊>Molecular ecology resources >QDD version 3.1: a user-friendly computer program for microsatellite selection and primer design revisited: experimental validation of variables determining genotyping success rate
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QDD version 3.1: a user-friendly computer program for microsatellite selection and primer design revisited: experimental validation of variables determining genotyping success rate

机译:QDD版本3.1:用于微卫星选择和引物设计的用户友好型计算机程序:重新研究了确定基因分型成功率的变量的实验验证

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Microsatellite marker development has been greatly simplified by the use of high-throughput sequencing followed by in silico microsatellite detection and primer design. However, the selection of markers designed by the existing pipelines depends either on arbitrary criteria, or older studies on PCR success. Based on wet laboratory experiments, we have identified the following factors that are most likely to influence genotyping success rate: alignment score between the primers and the amplicon; the distance between primers and microsatellites; the length of the PCR product; target region complexity and the number of reads underlying the sequence. The QDD pipeline has been modified to include these most pertinent factors in the output to help the selection of markers. Furthermore, new features are also included in the present version: (i) not only raw sequencing reads are accepted as input, but also contigs, allowing the analysis of assembled high-coverage data; (ii) input data can be both in fasta and fastq format to facilitate the use of Illumina and IonTorrent reads; (iii) A comparison to known transposable elements allows their detection; (iv) A contamination check can be carried out by BLASTing potential markers against the nucleotide (nt) database of NCBI; (v) QDD3 is now also available imbedded into a virtual machine making installation easier and operating system independent. It can be used both on command-line version as well as integrated into a Galaxy server, providing a user-friendly interface, as well as the possibility to utilize a large variety of NGS tools.
机译:通过使用高通量测序以及计算机内微卫星检测和引物设计,极大地简化了微卫星标记的开发。但是,由现有管道设计的标记物的选择取决于任意标准或对PCR成功的较早研究。根据湿实验室实验,我们确定了以下最有可能影响基因分型成功率的因素:引物和扩增子之间的比对得分;引物与微卫星之间的距离; PCR产物的长度;目标区域的复杂性和该序列基础的读取次数。 QDD管道已被修改为在输出中包括这些最相关的因素,以帮助选择标记。此外,当前版本还包含新功能:(i)不仅接受原始测序读数作为输入,而且还包含重叠群,从而可以分析组合的高覆盖率数据; (ii)输入数据可以是fasta和fastq格式,以方便使用Illumina和IonTorrent读取; (iii)与已知的转座因子进行比较可以对其进行检测; (iv)可以通过对NCBI的核苷酸(nt)数据库进行潜在标记的爆炸来进行污染检查; (v)现在还可以将QDD3嵌入到虚拟机中,从而使安装更加容易并且独立于操作系统。它既可以用于命令行版本,也可以集成到Galaxy服务器中,从而提供了用户友好的界面,并可以使用各种NGS工具。

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