BACKGROUND The use of environmental DNA (eDNA) has become an increasing important tool in environmental surveys and taxonomic research. High throughput sequencing of samples from soil, water, sediment, trap alcohol or bulk samples generate large amount of barcode sequences that can be assigned to a known taxon with a reference sequence. This process can however be bioinformatic cumbersome and time consuming, especially for researchers without specialised bioinformatic training. A number of different software packages and pipelines are available, but require training in preparation of data, running of analysis and formatting results. Comparison of results produced by different packages are often difficult. RESULTS FACEPIE is an open source script dependant on a few open source applications that provides a pipeline for rapid analysis and taxonomic assignment of environmental DNA samples. It requires an initial formatting of a reference database, using the script CaPReSe, and a configuration file and can thereafter be run to process any number of samples in succession using the same settings and references. Both configuration and executing are designed to demand as little hands on work as possible, while assuring repeatable results. CONCLUSION The demonstration using example data from real environmental samples provides results in a time span ranging from less than 3 min to just above 15 min depending on the numbers of sequences to process. The memory usage is below 2 GB on a desktop PC. FACEPAI and CaPReSe provides a pipeline for analysing a large number of eDNA samples on common equipment, with little bioinformatic skills necessary, for subsequent ecological and taxonomical studies.

中文翻译：

---

FACEPAI：一种用于快速一致地进行环境DNA加工和鉴定的脚本。

背景技术在环境调查和分类学研究中，环境DNA（eDNA）的使用已成为越来越重要的工具。对来自土壤，水，沉积物，捕集的酒精或大量样品的样品进行高通量测序，会生成大量条形码序列，这些条形码序列可与参考序列分配给已知的分类单元。然而，该过程可能是繁琐且耗时的生物信息学，特别是对于没有经过专门生物信息学训练的研究人员而言。可以使用许多不同的软件包和管道，但是需要培训以准备数据，运行分析和格式化结果。通常很难比较不同包装所产生的结果。结果FACEPIE是一个开放源代码脚本，它依赖于一些开放源代码应用程序，为快速分析和环境DNA样品的分类分配提供了渠道。它需要使用脚本CaPReSe和配置文件对参考数据库进行初始格式化，然后可以使用相同的设置和参考来运行该文件以连续处理任意数量的样本。配置和执行都旨在尽可能少地动手，同时确保可重复的结果。结论使用实际环境样本中的示例数据进行的演示可在不到3分钟到略高于15分钟的时间范围内提供结果，具体取决于要处理的序列数。台式机的内存使用量低于2 GB。