This article provides a comprehensive overview for systems biology researchers and metabolic engineers comparing the flux distributions predicted by different computational algorithms.
This article provides a comprehensive comparison of data-adaptive filtering versus traditional statistical methods in metabolomics data analysis.
Flux Balance Analysis (FBA) is a cornerstone of constraint-based metabolic modeling, but its predictions hinge critically on the chosen objective function, especially for underdetermined systems with infinite flux solutions.
This comprehensive guide provides researchers, scientists, and drug development professionals with an up-to-date comparative analysis of peak filtering in XCMS and MetaboAnalyst.
Untargeted metabolomics generates complex datasets rich with biological potential but plagued by uninformative features—chemical noise from contaminants, artifacts, and irrelevant biological variation.
This tutorial provides a complete, step-by-step guide for researchers, scientists, and drug development professionals to master CarveMe for reconstructing genome-scale metabolic models (GEMs) from annotated genomes using the top-down approach.
This comprehensive guide details the CarveMe reconstruction pipeline for generating genome-scale metabolic models (GSMMs), with a specific focus on automated draft model reconstruction and essential gap-filling strategies.
This article provides researchers, scientists, and drug development professionals with a detailed framework for applying CRISPR/Cas9 to metabolic engineering.
This article provides a comprehensive guide to integrating the COnstraint-Based Metabolic and Expression/regulation Task Space (COMETS) simulation platform with the Visual Analysis of Networks (VisANT) visualization tool for dynamic flux...
This comprehensive guide details the use of COBRApy to implement and apply Enzyme-Constrained Flux Balance Analysis (ecFBA) for metabolic modeling.