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ipyrad:RADseq 数据集的交互式组装和分析。

ipyrad: Interactive assembly and analysis of RADseq datasets.

机构信息

Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA.

Department of Biology, Graduate School, University Center of the City University of New York, New York, NY 10016, USA.

出版信息

Bioinformatics. 2020 Apr 15;36(8):2592-2594. doi: 10.1093/bioinformatics/btz966.

Abstract

SUMMARY

ipyrad is a free and open source tool for assembling and analyzing restriction site-associated DNA sequence datasets using de novo and/or reference-based approaches. It is designed to be massively scalable to hundreds of taxa and thousands of samples, and can be efficiently parallelized on high performance computing clusters. It is available both as a command line interface and as a Python package with an application programming interface, the latter of which can be used interactively to write complex, reproducible scripts and implement a suite of downstream analysis tools.

AVAILABILITY AND IMPLEMENTATION

ipyrad is a free and open source program written in Python. Source code is available from the GitHub repository (https://github.com/dereneaton/ipyrad/), and Linux and MacOS installs are distributed through the conda package manager. Complete documentation, including numerous tutorials, and Jupyter notebooks demonstrating example assemblies and applications of downstream analysis tools are available online: https://ipyrad.readthedocs.io/.

摘要

摘要

ipyrad 是一个免费的开源工具,用于使用从头开始和/或基于参考的方法组装和分析限制位点相关的 DNA 序列数据集。它被设计为可大规模扩展到数百个分类群和数千个样本,并且可以在高性能计算集群上高效地并行化。它既提供命令行界面,也提供 Python 包和应用程序编程接口,后者可用于交互式编写复杂的、可重复的脚本并实现一系列下游分析工具。

可用性和实现

ipyrad 是用 Python 编写的免费开源程序。源代码可从 GitHub 存储库(https://github.com/dereneaton/ipyrad/)获得,Linux 和 MacOS 安装通过 conda 包管理器分发。完整的文档,包括许多教程和演示下游分析工具的应用示例的 Jupyter 笔记本,都可以在线获得:https://ipyrad.readthedocs.io/。

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