Author

Mikael Benson

Linköping UniversityORCID 0000-0002-7753-9181Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Colm E. NestoriD· 3 shared Mika GustafssoniD· 2 shared Rasmus MagnussoniD· 2 shared Andreas TjärnbergiD· 1 shared Antonio LentiniiD· 1 shared Cathrine LagerwalliD· 1 shared Chan Hyun NaiD· 1 shared Claudio AltafiniiD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Colm E. NestorORCID

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3 papers

Recent·Most cited

A validated strategy to infer protein biomarkers from RNA-Seq by combining multiple mRNA splice variants and time-delay

Rasmus Magnusson, Olof Rundquist, Min Jung Kim, Sandra Hellberg, Chan Hyun Na, Mikael Benson, David Gómez-Cabrero, Ingrid Skelton Kockum, Jesper N. Tegner, Fredrik Piehl, Maja Jagodic, Johan Mellergård, Claudio Altafini, Jan Ernerudh, Maria Christina Jenmalm, , Mika Gustafsson

The paper develops a mathematical model combining mRNA splice variants and time-delay to predict protein abundance from RNA-Seq, improving biomarker discovery in immune diseases.

bioRxiv · Feb 21, 2020 · PreprintBioinformatics

A reassessment of DNA immunoprecipitation-based genomic profiling

Antonio Lentini, Cathrine Lagerwall, Svante Vikingsson, Heidi K. Mjoseng, Karolos Douvlataniotis, Hartmut Vogt, Henrik Gréen, Richard R. Meehan, Mikael Benson, Colm E. Nestor

This study identifies and corrects a major source of error in DIP-seq data, revealing new biological insights and proposing methodological improvements.

Nature Methods · Jun 22, 2018Peer-reviewedGenetics

LASSIM - a network inference toolbox for genome-wide mechanistic modeling

Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R. Gawel, Rebecka J. Jörnsten, Jörg Linde, Torbjörn E. M. Nordling, Elin Nyman, Sylvie Schulze, Colm E. Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson

LASSIM infers genome-wide gene regulatory networks using mechanistic ODE models, demonstrating its effectiveness in modeling Th2 differentiation with integrated data and siRNA experiments.

PLoS Computational Biology · Jun 22, 2017Peer-reviewedSystems Biology