Author

Chaimaa Tarzi

Teesside UniversityORCID 0000-0002-9449-4181Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Claudio AngioneiD· 2 shared Dong‐Yup LeeiD· 2 shared Meiyappan LakshmananiD· 2 shared Alexandre OliveiraiD· 1 shared Alina RenziD· 1 shared Ana María Vega-LetteriD· 1 shared Andreas DrägeriD· 1 shared Anne RichelleiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersSystems Biology

Claudio AngioneORCID

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2 papers

Recent·Most cited

A community-consensus reconstruction of Chinese Hamster metabolism enables structural systems biology analyses to decipher metabolic rewiring in lactate-free CHO cells

Pablo Di Giusto, Dong‐Hyuk Choi, Athanasios Antonakoudis, Vikash Gokul Duraikannan, Pierrick Craveur, Nicholas Luke Cowie, Tejaswini Ganapathy, Kannan Ramesh, Santiago Benavides-López, Camila A. Orellana, Natalia E. Jiménez, Leo Alexander Dworkin, James Morrissey, Igor Marín de Mas, Benjamin Strain, , Nathan E. Lewis

The paper presents iCHO3K, a comprehensive metabolic model of Chinese Hamster cells, and uses it to analyze metabolic changes in lactate-free cells, identifying structural insights into metabolic rewiring.

bioRxiv · Apr 10, 2025 · PreprintSystems Biology

FROG Analysis Ensures the Reproducibility of Genome Scale Metabolic Models

Karthik Raman, Miroslav Kratochvíl, Brett G. Olivier, Matthias König, Pratyay Sengupta, Dinesh Kumar Kuppa Baskaran, Tung V. N. Nguyen, Daniel Lobo, St. Elmo Wilken, Krishna Kumar Tiwari, Aswathy K. Raghu, Indumathi Palanikumar, Lavanya Raajaraam, Maziya Ibrahim, Sanjaay Balakrishnan, , Rahuman S. Malik‐Sheriff

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

bioRxiv · Sep 24, 2024 · PreprintSystems Biology