Author

Aranka Steyaert

Ghent UniversityORCID 0000-0002-0364-9863Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Bart MesuereiD· 1 shared Caroline A. De TenderiD· 1 shared Felix Van der JeugtiD· 1 shared Jan FostieriD· 1 shared Kathleen Marchal DiD· 1 shared Marie Van HeckeiD· 1 shared Peter DawyndtiD· 1 shared Pieter VerschaffeltiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Bart MesuereORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A Conditional Random Field approach for de novo reconstruction of bacterial haplotypes from a de Bruijn graph representation

Aranka Steyaert, Marie Van Hecke, Kathleen Marchal D, Jan Fostier

This paper introduces HaploDetox, a method for de novo bacterial haplotype reconstruction using a Conditional Random Field approach on de Bruijn graphs, achieving improved SNP phasing accuracy.

bioRxiv · May 12, 2026 · PreprintBioinformatics

UMGAP: the Unipept MetaGenomics Analysis Pipeline

Felix Van der Jeugt, Rien Maertens, Aranka Steyaert, Pieter Verschaffelt, Caroline A. De Tender, Peter Dawyndt, Bart Mesuere

UMGAP is a metagenomics analysis pipeline that provides fast, memory-efficient, and accurate taxonomic profiling of shotgun metagenomes using protein code regions.

BMC Genomics · Jun 10, 2022Peer-reviewedBioinformatics