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Genesis 和 Gappa:处理、分析和可视化系统发育(位置)数据。

Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data.

机构信息

Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg 69118, Germany.

Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany.

出版信息

Bioinformatics. 2020 May 1;36(10):3263-3265. doi: 10.1093/bioinformatics/btaa070.

Abstract

SUMMARY

We present genesis, a library for working with phylogenetic data, and gappa, an accompanying command-line tool for conducting typical analyses on such data. The tools target phylogenetic trees and phylogenetic placements, sequences, taxonomies and other relevant data types, offer high-level simplicity as well as low-level customizability, and are computationally efficient, well-tested and field-proven.

AVAILABILITY AND IMPLEMENTATION

Both genesis and gappa are written in modern C++11, and are freely available under GPLv3 at http://github.com/lczech/genesis and http://github.com/lczech/gappa.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

摘要

我们介绍了 genesis 库,它用于处理系统发育数据,以及配套的 gappa 命令行工具,用于对这类数据进行典型分析。这些工具以系统发育树和系统发育位置、序列、分类群和其他相关数据类型为目标,提供了高级别的简洁性和低级别的可定制性,并且计算效率高、经过充分测试并在实际中得到验证。

可用性和实现

genesis 和 gappa 都是用现代的 C++11 编写的,可以在 GPLv3 下免费获得,网址是 http://github.com/lczech/genesishttp://github.com/lczech/gappa。

补充信息

补充数据可在Bioinformatics 在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42bc/7214027/d69097b9f3ba/btaa070f1.jpg

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