Diatom dataset for automated molecular species delimitation models

Dataset is composed of alignments and trees built with diatom (Bacillariophyta) species that were used as input to verify the accuracy of different automated molecular species delimitation models in the manuscript: <strong> Comparison between p-distance and single-locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox1, rbcL and ITS. Journal of Eukaryotic Microbiology. DOI:10.1111/jeu.12986</strong> <br> The models or methods tested were: Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP). More details on dataset in the file Data_Description.docx

本数据集由以硅藻（Bacillariophyta）物种构建的序列联配（alignments）与系统发育树组成，用于验证相关论文中不同自动化分子物种界定模型的准确性：**《基于cox1、rbcL与ITS基因的遗传距离（p-distance）与单基因座物种界定模型比较——以经生殖验证的羽纹硅藻（Bacillariophyceae）菌株为例》**，发表于《真核微生物学报》（Journal of Eukaryotic Microbiology），DOI:10.1111/jeu.12986。本次测试的模型或方法包括：自动条形码间隙发现法（Automatic Barcode Gap Discovery，ABGD）、自动分区物种组装法（Assemble Species by Automatic Partitioning，ASAP）、统计简约网络分析（Statistical Parsimony Network Analysis，SPNA）、广义混合约尔溯祖模型（Generalized Mixed Yule Coalescent，GMYC）以及泊松树过程模型（Poisson Tree Processes，PTP）。本数据集的更多详细信息请参见Data_Description.docx文件。