Author

H. Friedrich Utz

University of Hohenheim

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:gene regulatory network inference· 1 Assay:metabolomics· 1 Organism:plant (other)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Albrecht E. MelchingeriD· 1 shared Alexander Thiemann· 1 shared Anita Ehret· 1 shared Armin SchlerethiD· 1 shared Chris‐Carolin SchöniD· 1 shared Claas HeueriD· 1 shared Felix SeifertiD· 1 shared Georg ThalleriD· 1 shared

Activity by Year

2017-2017 · 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 paperGenetics

Albrecht E. MelchingerORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Omics-Based Hybrid Prediction In Maize

Matthias Westhues, Tobias A. Schrag, Claas Heuer, Georg Thaller, H. Friedrich Utz, Wolfgang Schipprack, Alexander Thiemann, Felix Seifert, Anita Ehret, Armin Schlereth, Mark Stitt, Zoran Nikoloski, Lothar Willmitzer, Chris‐Carolin Schön, Stefan Scholten, Albrecht E. Melchinger

The paper demonstrates that integrating transcriptomic data with genomic data improves prediction of hybrid maize combinations, particularly for complex traits like dry matter yield.

Theoretical and Applied Genetics · Jun 24, 2017Peer-reviewedGenetics