Author

Benjamin Langer

ETH Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ivan TopolskyiD· 2 shared Lara FuhrmanniD· 2 shared Niko BeerenwinkeliD· 2 shared Aashil A. BataviaiD· 1 shared Anika JohniD· 1 shared Arthur DondiiD· 1 shared Chaoran CheniD· 1 shared David DreifussiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Ivan TopolskyORCID

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2 papers

Recent·Most cited

VILOCA: Sequencing quality-aware haplotype reconstruction and mutation calling for short- and long-read data

Lara Fuhrmann, Benjamin Langer, Ivan Topolsky, Niko Beerenwinkel

VILOCA improves mutation and haplotype calling accuracy for viral sequencing data, especially long-read data, by using quality-aware clustering and Dirichlet process mixture models.

bioRxiv · Jun 6, 2024 · PreprintBioinformatics

V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation

Lara Fuhrmann, Kim Philipp Jablonski, Ivan Topolsky, Aashil A. Batavia, Nico Borgsmüller, Pelin Icer Baykal, Matteo Carrara, Chaoran Chen, Arthur Dondi, Monica Dragan, David Dreifuss, Anika John, Benjamin Langer, Michal J. Okoniewski, Louis du Plessis, , Niko Beerenwinkel

V-pipe 3.0 is a computational pipeline for analyzing viral genomic data, enabling reproducible and scalable estimation of within-sample genetic diversity.

GigaScience · Jan 1, 2024Peer-reviewedBioinformatics