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DOI 10.1093/bioadv/vbag126

Медицинская библиотека · Bioinformatics advances · 2026

agtools: a software framework to manipulate assembly graphs.

Mallawaarachchi Vijini, Bouras George, Wick Ryan R, Grigson Susanna R, Papudeshi Bhavya, Edwards Robert A

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Аннотация

MOTIVATION: Assembly graphs are a fundamental data structure used by genome and metagenome assemblers to represent sequences and their overlap information, facilitating the assembler in constructing longer genomic fragments. Apart from their core use in assemblers, assembly graphs have become increasingly important in a range of downstream applications such as metagenomic binning, plasmid detection, viral genome resolution, and haplotype phasing. However, there is a need for a comprehensive tool that allows programmatic access to manipulate assembly graphs (e.g. parse, convert, filter, and analyze) across different assembly graph formats.

RESULTS

Here we present agtools, an open-source Python framework to manipulate assembly graphs produced by commonly used assemblers. agtools provides a command-line interface for tasks such as assembly graph format conversion, segment filtering, and component extraction. It also exposes a Python package interface to load, query, and analyze assembly graphs from popular genome and metagenome assemblers. This enables streamlined assembly-graph-based analyses that can be integrated into other bioinformatics software and workflows.

AVAILABILITY AND IMPLEMENTATION: The source code of agtools is hosted on GitHub at https://github.com/Vini2/agtools and the documentation is available at https://agtools.readthedocs.io/. agtools can also be installed from Bioconda (https://anaconda.org/bioconda/agtools) and PyPI (https://pypi.org/project/agtools/).

Для цитирования: Mallawaarachchi Vijini, Bouras George, Wick Ryan R, Grigson Susanna R, Papudeshi Bhavya, Edwards Robert A. agtools: a software framework to manipulate assembly graphs.. Bioinformatics advances. 2026. DOI: 10.1093/bioadv/vbag126.
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