Vom 20.12.2025 bis 11.01.2026 ist die Universitätsbibliothek geschlossen. Ab dem 12.01.2026 gelten wieder die regulären Öffnungszeiten. Ausnahme: Medizinische Hauptbibliothek und Zentralbibliothek sind bereits ab 05.01.2026 wieder geöffnet. Weitere Informationen

Treffer: SEGUL: Ultrafast, memory‐efficient and mobile‐friendly software for manipulating and summarizing phylogenomic datasets.

Title:
SEGUL: Ultrafast, memory‐efficient and mobile‐friendly software for manipulating and summarizing phylogenomic datasets.
Source:
Molecular Ecology Resources; Oct2024, Vol. 24 Issue 7, p1-11, 11p
Database:
Complementary Index

Weitere Informationen

Phylogenetic studies now routinely require manipulating and summarizing thousands of data files. For most of these tasks, currently available software requires considerable computing resources and substantial knowledge of command‐line applications. We develop an ultrafast and memory‐efficient software, SEGUL, that performs common phylogenomic dataset manipulations and calculates statistics summarizing essential data features. Our software is available as standalone command‐line interface (CLI) and graphical user interface (GUI) applications, and as a library for Rust, R and Python, with possible support of other languages. The CLI and library versions run native on Windows, Linux and macOS, including Apple ARM Macs. The GUI version extends support to include mobile iOS, iPadOS and Android operating systems. SEGUL leverages the high performance of the Rust programming language to offer fast execution times and low memory footprints regardless of dataset size and platform choice. The inclusion of a GUI minimizes bioinformatics barriers to phylogenomics while SEGUL's efficiency reduces economic barriers by allowing analysis on inexpensive hardware. Our support for mobile operating systems further enables teaching phylogenomics where access to computing power is limited. see also the Perspective by Kin Onn Chan [ABSTRACT FROM AUTHOR]

Copyright of Molecular Ecology Resources is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)