Author

Jasmin Hafner

École Polytechnique Fédérale de LausanneORCID 0000-0002-1474-5869Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Research Focus:benchmarking· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:metagenomics· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Vassily Hatzimanikatis AiD· 2 shared Anush Chiappino-PepeiD· 1 shared Evangelia VayenaiD· 1 shared Homa MohammadiPeyhaniiD· 1 shared Meriç AtamaniD· 1 shared Noushin HadadiiD· 1 shared Stavros PavlouiD· 1 shared Yannick Z. FrancioliiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersSystems Biology

Vassily Hatzimanikatis AORCID

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2 papers

Recent·Most cited

Systems BiologyProceedings of the National Academy of SciencesPeer-reviewedNov 7, 2022

NICEgame: A workflow for annotating the knowledge gaps in metabolic reconstructions, using known and hypothetical reactions

Evangelia Vayena, Anush Chiappino-Pepe, Homa MohammadiPeyhani…·Vassily Hatzimanikatis A

NICEgame identifies and resolves metabolic gaps in genome-scale models by suggesting alternative reactions and genes, improving gene essentiality predictions in E. coli.

24 citations

E. colimetagenomics

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BioinformaticsBioinformaticsPeer-reviewedMay 17, 2021

Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Jasmin Hafner, Vassily Hatzimanikatis A

The paper introduces a method to find metabolic pathways in large networks by using atom-conserving substrate-product pairs and graph search algorithms.

31 citations

metabolomicsgraph neural network

𝕏 PostBluesky