Author

Pedro Queirós

University of LuxembourgORCID 0000-0002-0831-4261Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 2 Research Focus:benchmarking· 1 Assay:metagenomics· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Oskar HickliD· 3 shared Patrick MayiD· 3 shared Paul WilmesiD· 3 shared Anna Heintz‐BuschartiD· 1 shared Francesco DeloguiD· 1 shared Susana Martínez ArbasiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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3 shared papersBioinformatics

Oskar HicklORCID

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3 papers

Recent·Most cited

binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets

Oskar Hickl, Pedro Queirós, Paul Wilmes, Patrick May, Anna Heintz‐Buschart

binny is an automated binning tool that produces high-quality MAGs from metagenomic data, outperforming existing methods in recovering complete and pure genomes.

Briefings in Bioinformatics · Sep 7, 2022Peer-reviewedBioinformatics

UniFuncNet: a flexible network annotation framework

Pedro Queirós, Oskar Hickl, Susana Martínez Arbas, Paul Wilmes, Patrick May

UniFuncNet integrates data from multiple biological databases to create a flexible and comprehensive network for omics data analysis.

bioRxiv · Mar 15, 2022 · PreprintBioinformatics

Mantis: flexible and consensus-driven genome annotation

Pedro Queirós, Francesco Delogu, Oskar Hickl, Patrick May, Paul Wilmes

Mantis is a protein function annotation tool that integrates multiple data sources to produce high-quality, consensus-driven annotations with improved precision and flexibility.

GigaScience · Jun 1, 2021Peer-reviewedBioinformatics