Author

Jörn Bethune

Aarhus UniversityORCID 0000-0002-6919-2595Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Organism:human· 2 Approach:benchmark study· 1 Organism:mouse· 1

Frequent Co-Authors

Abdul Sattar· 2 shared Abhivyakti Gautam· 2 shared Daniel Sumner MagruderiD· 2 shared Maksims FiošinsiD· 2 shared Raza‐Ur RahmaniD· 2 shared Stefan BonniD· 2 shared Anna-Maria LiebhoffiD· 1 shared April Snøfrid KleppeiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Abdul Sattar

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3 papers

Recent·Most cited

A method to build extended sequence context models of point mutations and indels

Jörn Bethune, April Snøfrid Kleppe, Søren Besenbacher

The paper introduces a method to model mutation rates using k-mer pattern partition, improving prediction of mutation rates and enabling analysis of wider sequence contexts for both point mutations and indels.

Nature Communications · Dec 22, 2022Peer-reviewedBioinformatics

SEA: The Small RNA Expression Atlas

Raza‐Ur Rahman, Vikas Bansal, Maksims Fiošins, Anna-Maria Liebhoff, Ashish Rajput, Abdul Sattar, Daniel Sumner Magruder, Sumit Madan, Ting Sun, Abhivyakti Gautam, Sven Heins, Timur Liwinski, Jörn Bethune, Claudia Trenkwalder, Juliane Fluck, , Stefan Bonn

SEA provides a web tool for querying and analyzing small RNA expression across ten organisms, including differential expression and classification comparisons.

bioRxiv · Jul 2, 2019 · PreprintBioinformatics

Oasis2.0: improved online analysis of small RNA-seq data

Raza‐Ur Rahman, Abhivyakti Gautam, Jörn Bethune, Abdul Sattar, Maksims Fiošins, Daniel Sumner Magruder, Vincenzo Capece, Orr Shomroni, Stefan Bonn

Oasis2.0 improves small RNA-seq analysis by enhancing detection, classification, and visualization of small RNAs across organisms and identifying cross-species miRNAs and viral/bacterial sRNAs.

BMC Bioinformatics · Feb 14, 2018Peer-reviewedBioinformatics