Author

Christina Schraml

Austrian Agency for Health and Food Safety

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

Genetics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anurag DawareiD· 1 shared Arnaud RemayiD· 1 shared Cécile CollonnieriD· 1 shared Clemens HackeiD· 1 shared François N. D. LaurensiD· 1 shared Karl SchmidiD· 1 shared Márton PécsiD· 1 shared Philipp Starnberger· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 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 paperGenetics

Anurag DawareORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Leveraging genome-wide association studies and genomic prediction for distinctness, uniformity, and stability (DUS) testing in maize

Anurag Daware, Clemens Hacke, Márton Pécs, Arnaud Remay, Philipp Starnberger, Christina Schraml, Cécile Collonnier, François N. D. Laurens, Karl Schmid

The paper uses GWAS and machine learning to develop molecular markers and a genomic prediction framework for improving maize DUS testing using historical data.

bioRxiv · Jun 12, 2026 · PreprintGenetics