Author

Bengt Oxelman

University of GothenburgORCID 0000-0002-6104-4264Unclaimed ORCID profile · follow to get notified of new preprints

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Bengt Oxelman1 paper

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1 Organism:plant (other)· 1

Frequent Co-Authors

Anna Petri· 1 shared Anne‐Cathrine Scheen· 1 shared George Anthony VerboomiD· 1 shared Mats TöpeliD· 1 shared Nicola G. BerghiD· 1 shared Yann BertrandiD· 1 shared Zaynab ShaikiD· 1 shared

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2018-2023 · peak 1/yr

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7 top collaborators · 9 mutual co-author links

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1 shared paperBioinformatics

Anna Petri

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintNov 23, 2023

Phylogeny inference under time-decaying migration and varying information content

Zaynab Shaik, Nicola G. Bergh, George Anthony Verboom, Bengt Oxelman

This paper introduces DENIM, a method for phylogenetic inference under time-decaying migration, showing it outperforms StarBeast3 in accuracy and computational efficiency.

DOI 10.1101/2023.11.23.568248

DNA methylationwhole-genome sequencing

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BioinformaticsbioRxivPreprintMar 28, 2018

De novo transcriptome assembly, annotation, and identification of low-copy number genes in the flowering plant genus Silene (Caryophyllaceae)

Yann Bertrand, Anna Petri, Anne‐Cathrine Scheen…·Bengt Oxelman

The paper assembles and annotates transcriptomes for two Silene species to identify low-copy nuclear markers for phylogenetic studies.

1 citation

plant (other)bulk RNA-seq

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