AlignMarkers: an original pipeline for placing molecular markers on physical sequences
Abstract
Background Continuous progress in genome sequencing and assembly, coupled with the growing availability of massive resources of long-read genomic sequences and high-quality molecular markers, based on single nucleotide polymorphisms (SNPs) and insertions-deletions (indels), demands accurate methods to easily, accurately and readily determine marker positions across genome versions. This is particularly important for applications such as development and updating of genotyping array. However, existing tools often require an associated reference genome for the molecular markers and additional adaptations are needed to map the short context sequences of these markers when no such reference genome is available. To overcome these limitations, our aim was to develop an original pipeline. Results AlignMarkers is a robust bioinformatics pipeline designed to accurately place molecular markers on genome assemblies without requiring information on initial positions on a reference genome, using sequence alignment. It can also operate on coordinate-based files to perform liftover-like analyses, providing an alternative when genome-to-genome alignments could not be generated. It accepts multiple input file formats (VCF, BED, FASTA, CSV) and is optimized for sequences of ≥ 100 base pairs. Context sequences are retrieved, when only coordinates are provided, and then aligned to target genomes using Minimap2, followed by a stringent filtering process ensuring alignment uniqueness, high sequence identity, and verification of the expected nucleotide. AlignMarkers is built with Nextflow and Python and integrates established tools such as Minimap2, Samtools, and Bedtools. It generates comprehensive reports and visualizations to facilitate result interpretation. We evaluated AlignMarkers using 80,000 randomly selected positions across the version 2 Pisum sativum genome assembly of cultivar Cameor, showing that increasing flanking sequence length improves placement accuracy and reduces multimapping, especially in repeat-rich regions. We further benchmarked AlignMarkers on 100,000 Solanum lycopersicum SNPs and indels against CrossMap and bcftools/liftover, showing high concordance in the outputs of all tools. These results demonstrate the robustness and reliability of the pipeline when used with different marker resources. Conclusion AlignMarkers is a reliable and user-friendly solution for transferring marker positions. It supports multiple applications and facilitates the management of large sets of molecular markers for various purposes, including the construction of genotyping platforms.
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BibTeX
@article{auneau2026alignmarkers,
title = {{AlignMarkers: an original pipeline for placing molecular markers on physical sequences}},
author = {Camille Auneau and Baptiste Imbert and Mathieu Zemihi and Grégoire Aubert and Nadim Tayeh and Jonathan Kreplak},
journal = {BMC Bioinformatics},
year = {2026},
month = aug,
doi = {10.1186/s12859-026-06582-1},
url = {https://hal.inrae.fr/hal-05736615v1},
note = {CC BY},
}
RIS
TY - JOUR
TI - AlignMarkers: an original pipeline for placing molecular markers on physical sequences
AU - Camille Auneau
AU - Baptiste Imbert
AU - Mathieu Zemihi
AU - Grégoire Aubert
AU - Nadim Tayeh
AU - Jonathan Kreplak
PY - 2026
DA - 2026/08/06
JO - BMC Bioinformatics
DO - 10.1186/s12859-026-06582-1
UR - https://hal.inrae.fr/hal-05736615v1
AB - Background Continuous progress in genome sequencing and assembly, coupled with the growing availability of massive resources of long-read genomic sequences and high-quality molecular markers, based on single nucleotide polymorphisms (SNPs) and insertions-deletions (indels), demands accurate methods to easily, accurately and readily determine marker positions across genome versions. This is particularly important for applications such as development and updating of genotyping array. However, existing tools often require an associated reference genome for the molecular markers and additional adaptations are needed to map the short context sequences of these markers when no such reference genome is available. To overcome these limitations, our aim was to develop an original pipeline. Results AlignMarkers is a robust bioinformatics pipeline designed to accurately place molecular markers on genome assemblies without requiring information on initial positions on a reference genome, using sequence alignment. It can also operate on coordinate-based files to perform liftover-like analyses, providing an alternative when genome-to-genome alignments could not be generated. It accepts multiple input file formats (VCF, BED, FASTA, CSV) and is optimized for sequences of ≥ 100 base pairs. Context sequences are retrieved, when only coordinates are provided, and then aligned to target genomes using Minimap2, followed by a stringent filtering process ensuring alignment uniqueness, high sequence identity, and verification of the expected nucleotide. AlignMarkers is built with Nextflow and Python and integrates established tools such as Minimap2, Samtools, and Bedtools. It generates comprehensive reports and visualizations to facilitate result interpretation. We evaluated AlignMarkers using 80,000 randomly selected positions across the version 2 Pisum sativum genome assembly of cultivar Cameor, showing that increasing flanking sequence length improves placement accuracy and reduces multimapping, especially in repeat-rich regions. We further benchmarked AlignMarkers on 100,000 Solanum lycopersicum SNPs and indels against CrossMap and bcftools/liftover, showing high concordance in the outputs of all tools. These results demonstrate the robustness and reliability of the pipeline when used with different marker resources. Conclusion AlignMarkers is a reliable and user-friendly solution for transferring marker positions. It supports multiple applications and facilitates the management of large sets of molecular markers for various purposes, including the construction of genotyping platforms.
SN - 1471-2105
ER -