Author

Tim McCubbin

The University of QueenslandORCID 0000-0002-9707-6532Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1 Organism:yeast· 1

Frequent Co-Authors

Lars Keld NielseniD· 2 shared Alexander S. Beliaev· 1 shared Ali Jahanian· 1 shared Anh Phan· 1 shared Bingyin PengiD· 1 shared Chengqiang WangiD· 1 shared Claudia Estelle VickersiD· 1 shared Craig P. BarryiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

2 shared papersBioinformatics

Lars Keld NielsenORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Evolutionary stabilisation of stressful metabolism via integrated biocomputing and essential-gene metabolic locking circuits

Zeyu Mike Lu, Craig P. Barry, Masahiro Tominaga, Anh Phan, Ali Jahanian, Thomas Collier, Nicholas A. Wendrick, Samuel Evans, Liam McDonnell, Gabriele A. Netzel, Tim McCubbin, Shana Sunny Jacob, Patrick A. da Roza, Xin Xu, Chengqiang Wang, , Bingyin Peng

The paper develops synthetic genetic circuits in yeast to stabilize metabolic stress from terpene production, showing that coupling essential genes to synthetic pathways improves strain stability.

bioRxiv · Oct 9, 2026 · PreprintSynthetic Biology

Pseudo batch transformation: A novel method to correct for mass removal through sample withdrawal of fed-batch fermentations

Viktor Hesselberg-Thomsen, Teddy Groves, Tim McCubbin, Iván Martínez‐Monge, Igor Marín de Mas, Lars Keld Nielsen

The paper introduces a pseudo batch transformation method to simplify analysis of fed-batch fermentation data by mapping it to a constant volume batch process.

bioRxiv · May 27, 2024 · PreprintBioinformatics

multiTFA: a Python package for multi-variate Thermodynamics-based Flux Analysis

Vishnuvardhan Mahamkali, Tim McCubbin, Εlad Noor, Esteban Marcellin, Lars Keld Nielsen

The paper introduces multiTFA, a Python package that improves thermodynamic-based flux analysis by incorporating multivariate treatment of thermodynamic variables, reducing uncertainty in reaction Gibbs free energy ranges.

Bioinformatics · Mar 1, 2021Peer-reviewedBioinformatics