Author

Yannick Z. Francioli

École Polytechnique Fédérale de LausanneORCID 0000-0001-9653-0417Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Andrew Hill· 1 shared Anush Chiappino-PepeiD· 1 shared David D. PollockiD· 1 shared Elise N. GroveriD· 1 shared Elizabeth J. CarltoniD· 1 shared Evangelia VayenaiD· 1 shared Hamish PikeiD· 1 shared Hannah D. Guss· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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 paperGenomics

Andrew Hill

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

GenomicsPLoS neglected tropical diseasesPeer-reviewedSep 8, 2026

Population genomics reveals multi-scale mechanisms sustaining schistosomiasis re-emergence in a near-elimination setting

Hannah D. Guss, Yannick Z. Francioli, Elise N. Grover…·Todd A. Castoe

The paper uses population genomics to analyze Schistosoma japonicum re-emergence in Sichuan, China, revealing a diverse parasite population maintained in reservoirs and a regional transmission network.

DOI 10.1371/journal.pntd.0014202

humanwhole-genome sequencing

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