RMetD2: a tool for integration of relative transcriptomics data into Genome-scale metabolic models
Cheng Zhang, Sunjae Lee, Gholamreza Bidkhori, Rui Benfeitas, Alen Lovrić, Shuqi Chen, Mathias Uhlén, Jens Nielsen, Adil Mardinoğlu
RMetD2 integrates differentially expressed genes into genome-scale metabolic models to reveal metabolic differences between conditions, outperforming existing methods in capturing experimentally observed features.
bioRxiv · Jun 6, 2019 · PreprintBioinformatics