Author

Mark Vigliotti

Colorado School of Mines

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

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:C. elegans· 1 Assay:metabolomics· 1 Organism:plant (other)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Nanette R. BoyleiD· 2 shared Alex Metcalf· 1 shared Kyle Nguyen· 1 shared Luca Cohen· 1 shared Melissa RothiD· 1 shared Michelle MeagheriD· 1 shared S. Alex Ramsey· 1 shared Sandra Gomez RomeroiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersSystems Biology

Nanette R. BoyleORCID

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2 papers

Recent·Most cited

iSsus3744: A Genome-Scale Model-Guided Strategy for Rational Media Design for Cultivated Pork

Sandra Gomez Romero, Mark Vigliotti, Victoria Ramirez Lopez, Kyle Nguyen, Valeria Marchitto, Nanette R. Boyle

This paper introduces iSsus3744, a genome-scale metabolic model for Sus scrofa, and demonstrates its use in optimizing media for cultivated pork production by identifying limiting amino acids.

bioRxiv · May 31, 2026 · PreprintSystems Biology

Genome-Scale Metabolic Model Accurately Predicts Fermentation of Glucose by Chromochloris zofingiensis

Michelle Meagher, Alex Metcalf, Mark Vigliotti, S. Alex Ramsey, Walter Prentice, Luca Cohen, Shivani Upadhyaya, Melissa Roth, Nanette R. Boyle

The paper develops a genome-scale metabolic model for Chromochloris zofingiensis and demonstrates its ability to predict fermentation products and metabolic activity under different growth conditions.

Algal Research · Nov 23, 2024Peer-reviewedSystems Biology