RNA Bioinformatics and High-Throughput Analysis, Faculty of Mathematics and Computer Science, Jena 07743, Germany.
European Virus Bioinformatics Center, Friedrich Schiller University Jena, Jena 07743, Germany.
Bioinformatics. 2021 May 17;37(7):1018-1020. doi: 10.1093/bioinformatics/btaa695.
PoSeiDon is an easy-to-use pipeline that helps researchers to find recombination events and sites under positive selection in protein-coding sequences. By entering homologous sequences, PoSeiDon builds an alignment, estimates a best-fitting substitution model and performs a recombination analysis followed by the construction of all corresponding phylogenies. Finally, significantly positive selected sites are detected according to different models for the full alignment and possible recombination fragments. The results of PoSeiDon are summarized in a user-friendly HTML page providing all intermediate results and the graphical representation of recombination events and positively selected sites.
PoSeiDon is freely available at https://github.com/hoelzer/poseidon. The pipeline is implemented in Nextflow with Docker support and processes the output of various tools.
PoSeiDon 是一个易于使用的流水线，可帮助研究人员在蛋白质编码序列中发现重组事件和正选择位点。通过输入同源序列，PoSeiDon 构建比对、估计最佳拟合替代模型，并进行重组分析，然后构建所有对应的系统发育树。最后，根据全比对和可能的重组片段的不同模型，检测显著正选择的位点。PoSeiDon 的结果总结在一个用户友好的 HTML 页面中，提供了所有中间结果以及重组事件和正选择位点的图形表示。
PoSeiDon 可在 https://github.com/hoelzer/poseidon 上免费获得。该流水线在 Nextflow 中实现，支持 Docker，并处理各种工具的输出。
