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RMetD2: a tool for integration of relative transcriptomics data into Genome-scale metabolic models
Cheng Zhang, Sunjae Lee, Gholamreza Bidkhori, Rui Benfeitas, Alen Lovric, Shuqi Chen, Mathias Uhlen, Jens Nielsen, Adil Mardinoglu
doi: https://doi.org/10.1101/663096
Cheng Zhang
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Sunjae Lee
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Gholamreza Bidkhori
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Rui Benfeitas
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Alen Lovric
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Shuqi Chen
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Mathias Uhlen
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
Jens Nielsen
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
2Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
Adil Mardinoglu
1Science for Life Laboratory, KTH – Royal Institute of Technology, SE-171 21 Stockholm, Sweden
2Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
3Centre for Host–Microbiome Interactions, Dental Institute, King’s College London, London, SE1 9RT, United Kingdom
Posted June 06, 2019.
RMetD2: a tool for integration of relative transcriptomics data into Genome-scale metabolic models
Cheng Zhang, Sunjae Lee, Gholamreza Bidkhori, Rui Benfeitas, Alen Lovric, Shuqi Chen, Mathias Uhlen, Jens Nielsen, Adil Mardinoglu
bioRxiv 663096; doi: https://doi.org/10.1101/663096
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