Author

Michelle Dierolf

Universitätsklinikum Würzburg

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

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Angela BorstiD· 1 shared Anke Katharina BergmanniD· 1 shared Christian Peter KratziD· 1 shared Christian W. Remmele· 1 shared Isabell PoppiD· 1 shared Jiangyan YuiD· 1 shared Judith Schaffer· 1 shared Luke O’GormaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetic & Genomic Medicine

Angela BorstORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

FA-NIVA: A Nextflow framework for automated analysis of Nanopore based long-read sequencing data for genetic analysis in Fanconi anemia

Priya S. Neurgaonkar, Michelle Dierolf, Luke O’Gorman, Christian W. Remmele, Judith Schaffer, Isabell Popp, Angela Borst, Simone Rost, Markus Johannes Ankenbrand, Christian Peter Kratz, Anke Katharina Bergmann, Reinhard Kalb, Jiangyan Yu

FA-NIVA provides an automated analysis framework for Nanopore long-read sequencing data to detect SNVs and SVs in Fanconi anemia genes with improved genotyping accuracy.

medRxiv · Mar 4, 2026 · PreprintGenetic & Genomic Medicine