Author

Markus Hsi-Yang Fritz

European Molecular Biology Laboratory

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

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Genomics· 1

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Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Attila GyeneseiiD· 1 shared Bence GálikiD· 1 shared Bettina HaaseiD· 1 shared Bianka Baying· 1 shared Dinko PavlinićiD· 1 shared Hüseyin BesiriD· 1 shared Joanna M KirkpatrickiD· 1 shared Jonathan J. M. LandryiD· 1 shared

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2021-2021 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Attila GyeneseiORCID

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1 paper

Recent·Most cited

Extensive OMICS resource for Sf21 and Tni cell lines

Bence Gálik, Jonathan J. M. Landry, Joanna M Kirkpatrick, Markus Hsi-Yang Fritz, Bianka Baying, Jonathon Blake, Bettina Haase, Paul G. Collier, Rajna Hercog, Dinko Pavlinić, Peggy C. Stolt-Bergner, Hüseyin Besir, Kim Remans, Attila Gyenesei, Vladimı́r Beneš

The paper presents genome assemblies and gene predictions for Sf21 and Tni cell lines using multi-omics data, enabling improved use in protein expression and genome engineering.

bioRxiv · Apr 6, 2021 · PreprintGenomics