Ghent University Academic Bibliography

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Filtering for truth : high-precision taxonomic classification in nanopore shotgun metagenomics data through a KMA-based bioinformatic pipeline (KAPTAIN)

Alexander Van Uffelen (UGent) , Andrea Gobbo, Marie-Alice Fraiture, Andres Posadas Yabar (UGent) , Nancy H. C. Roosens, Kathleen Marchal (UGent) , Sigrid C. J. De Keersmaecker and Kevin Vanneste

(2026) BMC GENOMICS. 27(1).
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The diversity of insecticide target site mutations in Apis mellifera

Gilles Verbinnen (UGent) , Lina De Smet (UGent) , Dora Henriques, Jan Tytgat, M. Alice Pinto and Dirk de Graaf (UGent)

(2026) BMC GENOMICS. 27(1).
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Plate-based 10X Genomics-compatible single-cell RNA-sequencing based on Smart-seq3xpress

Koen Deserranno (UGent) , Elise Callens (UGent) , Danique Berrevoet (UGent) , Aaron Verplancke (UGent) , Tamara De Vos (UGent) , Tom Taghon (UGent) , Dieter Deforce (UGent) and Filip Van Nieuwerburgh (UGent)

(2025) BMC GENOMICS. 27(1).
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Differential detection workflows for multi-sample single-cell RNA-seq data

Jeroen Gilis, Laura Perin, Milan Malfait, Helena L. Crowell, Koen Van den Berge (UGent) , Alemu Takele Assefa, Bie Verbist, Davide Risso and Lieven Clement (UGent)

(2025) BMC GENOMICS. 26(1).
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Stage-specific transcriptomic analysis reveals insights into the development, reproduction and biological function of allergens in the European house dust mite Dermatophagoides pteronyssinus

Jose Cristian Vidal-Quist, Felix Ortego, Bart Lambrecht (UGent) , Stephane Rombauts (UGent) and Pedro Hernandez-Crespo

(2025) BMC GENOMICS. 26(1).
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Investigating diversity and similarity between CBM13 modules and ricin-B lectin domains using sequence similarity networks

dr. ing. Tibo De Coninck (UGent) , Garry P. Gippert, Bernard Henrissat, Tom Desmet (UGent) and Els Van Damme (UGent)

(2024) BMC GENOMICS. 25(1).
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Characterization of fine geographic scale population genetics in sugar kelp (Saccharina latissima) using genome-wide markers

Signe Bråtelund, Tom Ruttink (UGent) , Franz Goecke, Ole Jacob Broch, Gunnar Klemetsdal, Jørgen Ødegård and Åshild Ergon

(2024) BMC GENOMICS. 25(1).
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Genomic mining of Vibrio parahaemolyticus highlights prevalence of antimicrobial resistance genes and new genetic markers associated with AHPND and tdh plus /trh plus genotypes

Marieke Vandeputte, Sieglinde Coppens, Peter Bossier (UGent) , Nick Vereecke and Daisy Vanrompay (UGent)

(2024) BMC GENOMICS. 25(1).
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The Amphibian Genomics Consortium : advancing genomic and genetic resources for amphibian research and conservation

Tiffany A. Kosch, Maria Torres-Sanchez, H. Christoph Liedtke, Kyle Summers, Maximina H. Yun, Andrew J. Crawford, Simon T. Maddock, Md. Sabbir Ahammed, Victor L. N. Araujo, Lorenzo V. Bertola, et al.

(2024) BMC GENOMICS. 25(1).
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Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data

Arne Claeys (UGent) , Peter Merseburger (UGent) , Jasper Staut (UGent) , Kathleen Marchal (UGent) and Jimmy Van den Eynden (UGent)

(2023) BMC GENOMICS. 24.

Academic Bibliography

Filtering for truth : high-precision taxonomic classification in nanopore shotgun metagenomics data through a KMA-based bioinformatic pipeline (KAPTAIN)

The diversity of insecticide target site mutations in Apis mellifera

Plate-based 10X Genomics-compatible single-cell RNA-sequencing based on Smart-seq3xpress

Differential detection workflows for multi-sample single-cell RNA-seq data

Stage-specific transcriptomic analysis reveals insights into the development, reproduction and biological function of allergens in the European house dust mite Dermatophagoides pteronyssinus

Investigating diversity and similarity between CBM13 modules and ricin-B lectin domains using sequence similarity networks

Characterization of fine geographic scale population genetics in sugar kelp (Saccharina latissima) using genome-wide markers

Genomic mining of Vibrio parahaemolyticus highlights prevalence of antimicrobial resistance genes and new genetic markers associated with AHPND and tdh plus /trh plus genotypes

The Amphibian Genomics Consortium : advancing genomic and genetic resources for amphibian research and conservation

Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data

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