Author

Sven D. Schrinner

Heinrich Heine University DüsseldorfORCID 0000-0002-6712-2198Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:plant (other)· 2 Research Focus:genome assembly· 1 Assay:long-read sequencing· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Gunnar W. KlauiD· 3 shared Björn UsadeliD· 2 shared Rebecca Serra MariiD· 2 shared Tobias MarschalliD· 2 shared Freya Maria Rosemarie ZiegleriD· 1 shared Jana EbleriD· 1 shared Julia J. ReimeriD· 1 shared Lancelot SeillieriD· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Gunnar W. KlauORCID

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3 papers

Recent·Most cited

Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data

Rebecca Serra Mari, Sven D. Schrinner, Richard Finkers, Freya Maria Rosemarie Ziegler, Paul F. P. Arens, Maximilian Schmidt, Björn Usadel, Gunnar W. Klau, Tobias Marschall

This paper presents a method for haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data, achieving high-quality chromosome-level assemblies with haplotype-specific resolution.

Genome biology · Jan 19, 2024Peer-reviewedGenomics

Haplotype Threading: Accurate Polyploid Phasing from Long Reads

Sven D. Schrinner, Rebecca Serra Mari, Jana Ebler, Mikko Rautiainen, Lancelot Seillier, Julia J. Reimer, Björn Usadel, Tobias Marschall, Gunnar W. Klau

This paper introduces a novel two-stage method for polyploid haplotype phasing using long reads, achieving lower error rates than existing methods in challenging regions.

Genome biology · Sep 20, 2020Peer-reviewedBioinformatics

The Homo-Edit Distance Problem

Maren Brand, Nguyen Khoa Tran, Philipp Spohr, Sven D. Schrinner, Gunnar W. Klau

The paper introduces the homo-edit distance problem and presents a polynomial-time dynamic programming solution for computing it.

bioRxiv · May 27, 2020 · PreprintBioinformatics