Dipsacales four locus supermatrix assembled with PyNCBIminer

PyNCBIminer is a user-friendly software that automates the assembly of
large DNA datasets from GenBank for phylogenetic reconstruction using the
supermatrix method.To evaluate the sensitivity of PyNCBIminer to initial
queries, we downloaded four DNA markers (ITS, matK, rbcL and
trnLintron-trnF) of Dipsacales using two distinct initial query sets. The
experiments were performed on a personal computer featuring a 13th Gen
Intel(R) Core (TM) i5-1340P 1.90 GHz processor and 32.0 GB of RAM. Run 1
used six well-aligned sequences from six angiosperm orders as default
initial queries in PyNCBIminer, while Run 2 used six sequences from six
genera within the order Dipsacales.

PyNCBIminer是一款用户友好型软件，可自动化组装来自基因银行（GenBank）的大型DNA数据集，用于采用超级矩阵法（supermatrix method）开展系统发育重建。为评估PyNCBIminer对初始查询的敏感性，研究团队使用两组不同的初始查询集，下载了川续断目（Dipsacales）的4种DNA标记序列：ITS、matK、rbcL以及trnLintron-trnF。本实验在一台搭载13代英特尔(R)酷睿(TM) i5-1340P 1.90 GHz处理器与32.0 GB内存的个人计算机上进行。运行1以6个被子植物目对应的6条比对质量良好的序列作为PyNCBIminer的默认初始查询，运行2则选用川续断目下6个属的6条序列作为初始查询。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于评估PyNCBIminer软件敏感性的Dipsacales植物四基因座超矩阵数据，包含两个不同初始查询集（基于被子植物目和Dipsacales属）的实验结果。数据集提供了从GenBank下载的四个DNA标记（ITS、matK、rbcL、trnLintron-trnF）的原始序列、处理后的比对和超矩阵文件，支持系统发育重建研究。