Author

Milena Žarković

Friedrich Schiller University JenaORCID 0000-0002-4390-9869Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 3 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Organism:virus· 1

Frequent Co-Authors

Manja MarziD· 3 shared Akash SrivastavaiD· 2 shared Christian Höner zu SiederdisseniD· 2 shared Jannes SpangenbergiD· 2 shared Martin HölzeriD· 2 shared Sebastian KrautwurstiD· 2 shared Andi KrumbholziD· 1 shared Anna Wansorra· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Manja MarzORCID

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Author profile →

3 papers

Recent·Most cited

Unlocking the Full Potential of Nanopore Sequencing: Tips, Tricks, and Advanced Data Analysis Techniques

Daria Meyer, Winfried Göettsch, Jannes Spangenberg, Bettina Stieber, Sebastian Krautwurst, Martin Hölzer, Christian Brandt, Jörg Linde, Christian Höner zu Siederdissen, Akash Srivastava, Milena Žarković, Damian Wollny, Manja Marz

This paper provides an overview and analysis of nanopore sequencing, offering guidelines to address challenges and maximize information gain from the technology.

Nucleic Acids Research · Jan 22, 2026Peer-reviewedBioinformatics

Assembling highly repetitive Xanthomonas TALomes using Oxford Nanopore sequencing

Annett Erkes, René Grove, Milena Žarković, Sebastian Krautwurst, Ralf Koebnik, Richard Morgan, Geoffrey G. Wilson, Martin Hölzer, Manja Marz, Jens Boch, Jan Grau

The paper assembles repetitive TALomes in Xanthomonas using Oxford Nanopore sequencing and presents a correction pipeline to improve accuracy.

BMC Genomics · Mar 27, 2023Peer-reviewedBioinformatics

Magnipore: Prediction of differential single nucleotide changes in the Oxford Nanopore Technologies sequencing signal of SARS-CoV-2 samples

Jannes Spangenberg, Christian Höner zu Siederdissen, Milena Žarković, Sandra Triebel, Ruben Rose, Christina Martínez Christophersen, Lea Paltzow, Mohsen M. Hegab, Anna Wansorra, Akash Srivastava, Andi Krumbholz, Manja Marz

Magnipore identifies differential signal shifts between SARS-CoV-2 samples to detect mutations and potential modifications in Oxford Nanopore sequencing data.

bioRxiv · Mar 17, 2023 · PreprintBioinformatics