Evidence map›Paper›PMID 39221004›Full record

ArticleFrontiers in bioinformatics2024

A layout framework for genome-wide multiple sequence alignment graphs.

Jeremias Schebera, Dirk Zeckzer, Daniel Wiegreffe

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jeremias ScheberaImage and Signal Processing Group, Institute for Computer Science, Leipzig University, Leipzig, Germany.
Dirk ZeckzerImage and Signal Processing Group, Institute for Computer Science, Leipzig University, Leipzig, Germany.
Daniel WiegreffeImage and Signal Processing Group, Institute for Computer Science, Leipzig University, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

genome analysisgenome comparisongraph drawingmultiple sequence alignmentvisualization

Identifiers

PMID39221004
PMCPMC11362851

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.