A layout framework for genome-wide multiple sequence alignment graphs

Sequence alignments are often used to analyze genomic data. However, such alignments are often only calculated and compared on small sequence intervals for analysis purposes. When comparing longer sequences, these are usually divided into shorter sequence intervals for better alignment results. This usually means that the order context of the original sequence is lost. To prevent this, it is possible to use a graph structure to represent the order of the original sequence on the alignment blocks. The visualization of these graph structures can provide insights into the structural variations of genomes in a semi-global context. In this paper, we propose a new graph drawing framework for representing gMSA data. We produce a hierarchical graph layout that supports the comparative analysis of genomes. Based on a reference, the differences and similarities of the different genome orders are visualized. In this work, we present a complete graph drawing framework for gMSA graphs together with the respective algorithms for each of the steps. Additionally, we provide a prototype and an example data set for analyzing gMSA graphs. Based on this data set, we demonstrate the functionalities of the framework using two examples.

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Publication Details

Journal
Frontiers in Bioinformatics
Published
2024-08-16
DOI
https://doi.org/10.3389/fbinf.2024.1358374
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A layout framework for genome-wide multiple sequence alignment graphs

Daniel Wiegreffe, Dirk Zeckzer, Jeremias Schebera
Frontiers in Bioinformatics
Genomics and Phylogenetic Studies
article

A layout framework for genome-wide multiple sequence alignment graphs

Daniel Wiegreffe, Dirk Zeckzer, Jeremias Schebera
article en

Abstract

Sequence alignments are often used to analyze genomic data. However, such alignments are often only calculated and compared on small sequence intervals for analysis purposes. When comparing longer sequences, these are usually divided into shorter sequence intervals for better alignment results. This usually means that the order context of the original sequence is lost. To prevent this, it is possible to use a graph structure to represent the order of the original sequence on the alignment blocks. The visualization of these graph structures can provide insights into the structural variations of genomes in a semi-global context. In this paper, we propose a new graph drawing framework for representing gMSA data. We produce a hierarchical graph layout that supports the comparative analysis of genomes. Based on a reference, the differences and similarities of the different genome orders are visualized. In this work, we present a complete graph drawing framework for gMSA graphs together with the respective algorithms for each of the steps. Additionally, we provide a prototype and an example data set for analyzing gMSA graphs. Based on this data set, we demonstrate the functionalities of the framework using two examples.

Frontiers in BioinformaticsVol. 4
Leipzig University (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Sächsisches Staatsministerium für Wissenschaft und Kunst, Universität Leipzig
Openalex Percentile: Top 88%
Genomics and Phylogenetic Studies
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