Coissac Eric
Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université Joseph Fourier, Grenoble, France.
Methods Mol Biol. 2012;888:13-31. doi: 10.1007/978-1-61779-870-2_2.
Next-generation sequencing systems allow high-throughput production of DNA sequence data. But this technology is more adapted for analyzing a small number of samples needing a huge amount of sequences rather than a large number of samples needing a small number of sequences. One solution to this problem is sample multiplexing. To achieve this, one can add a small tag at the extremities of the sequenced DNA molecules. These tags will be identified using bioinformatics tools after the sequencing step to sort sequences among samples. The rules to apply for selecting a good set of tags adapted to each situation are described in this chapter. Depending on the number of samples to tag and on the required quality of assignation, different solutions are possible. The software oligoTag, a part of OBITools that computes these sets of tags, is presented with some example sets of tags.
新一代测序系统可实现DNA序列数据的高通量生产。但这项技术更适用于分析少量需要大量序列的样本，而非大量需要少量序列的样本。解决这个问题的一个办法是样本复用。要实现这一点，可以在测序DNA分子的末端添加一个小标签。测序步骤完成后，将使用生物信息学工具识别这些标签，以便在样本间对序列进行分类。本章介绍了针对每种情况选择一组合适标签的应用规则。根据要标记的样本数量和所需的分配质量，可以采用不同的解决方案。文中介绍了软件oligoTag（OBITools的一部分，用于计算这些标签集）以及一些标签集示例。
