Author

David Langenberger

ORCID 0000-0001-9424-9701Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Adam NunniD· 2 shared Christian OttoiD· 2 shared Peter Florian StadleriD· 2 shared Mario FasoldiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Adam NunnORCID

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2 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedJun 28, 2022

Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional Bayesian approaches

Adam Nunn, Christian Otto, Mario Fasold…·David Langenberger

This paper presents a computational method to improve variant calling from bisulfite sequencing data using conventional software by manipulating base quality scores.

20 citations

humanplant (other)

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedJan 15, 2021

Comprehensive benchmarking of software for mapping whole genome bisulfite data: from read alignment to DNA methylation analysis

Adam Nunn, Christian Otto, Peter Florian Stadler, David Langenberger

This paper benchmarks nine tools for mapping whole genome bisulfite data, finding BWA-meth and BSMAP perform best in alignment and methylation analysis.

33 citations

Arabidopsiswhole-genome sequencing

𝕏 PostBluesky