Evidence map›Paper›PMID 38982375›Full record

ArticleBMC bioinformatics2024

ProcaryaSV: structural variation detection pipeline for bacterial genomes using short-read sequencing.

Robin Jugas, Helena Vitkova

Abstract read
In one paragraph

Article in BMC 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Robin JugasDepartment of Biomedical Engineering, Brno University of Technology, Brno, Czech Republic.ORCID http://orcid.org/0000-0003-4675-0985
Helena VitkovaDepartment of Biomedical Engineering, Brno University of Technology, Brno, Czech Republic. vitkovah@vut.cz.ORCID http://orcid.org/0000-0003-4562-2746

Funding

Czech Science Foundation GA23-05845S
6 · The paper itself

Abstract

backgroundStructural variations play an important role in bacterial genomes. They can mediate genome adaptation quickly in response to the external environment and thus can also play a role in antibiotic resistance. The detection of structural variations in bacteria is challenging, and the recognition of even small rearrangements can be important. Even though most detection tools are aimed at and benchmarked on eukaryotic genomes, they can also be used on prokaryotic genomes. The key features of detection are the ability to detect small rearrangements and support haploid genomes. Because of the limiting performance of a single detection tool, combining the detection abilities of multiple tools can lead to more robust results. There are already available workflows for structural variation detection for long-reads technologies and for the detection of single-nucleotide variation and indels, both aimed at bacteria. Yet we are unaware of structural variations detection workflows for the short-reads sequencing platform. Motivated by this gap we created our workflow. Further, we were interested in increasing the detection performance and providing more robust results.

resultsWe developed an open-source bioinformatics pipeline, ProcaryaSV, for the detection of structural variations in bacterial isolates from paired-end short sequencing reads. Multiple tools, starting with quality control and trimming of sequencing data, alignment to the reference genome, and multiple structural variation detection tools, are integrated. All the partial results are then processed and merged with an in-house merging algorithm. Compared with a single detection approach, ProcaryaSV has improved detection performance and is a reproducible easy-to-use tool.

conclusionsThe ProcaryaSV pipeline provides an integrative approach to structural variation detection from paired-end next-generation sequencing of bacterial samples. It can be easily installed and used on Linux machines. It is publicly available on GitHub at https://github.com/robinjugas/ProcaryaSV .

Indexed as

Genome, BacterialHigh-Throughput Nucleotide SequencingSoftwareBacteriaSequence Analysis, DNABacteriaCNVCopy number variationPipelineStructural variationSV

Identifiers

PMID38982375
PMCPMC11234778

What Socratic holds

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LicenceCC BY
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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.