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A computational framework to identify metabolic engineering strategies for the co-production of metabolites

Lavanya Raajaraam, View ORCID ProfileKarthik Raman
doi: https://doi.org/10.1101/2021.09.18.460904
Lavanya Raajaraam
1Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai – 600 036, INDIA
2Centre for Integrative Biology and Systems Medicine (IBSE), IIT Madras, Chennai – 600 036, INDIA
3Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai – 600 036, INDIA
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Karthik Raman
1Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai – 600 036, INDIA
2Centre for Integrative Biology and Systems Medicine (IBSE), IIT Madras, Chennai – 600 036, INDIA
3Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai – 600 036, INDIA
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  • ORCID record for Karthik Raman
  • For correspondence: kraman@iitm.ac.in
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Posted October 03, 2021.
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A computational framework to identify metabolic engineering strategies for the co-production of metabolites
Lavanya Raajaraam, Karthik Raman
bioRxiv 2021.09.18.460904; doi: https://doi.org/10.1101/2021.09.18.460904
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A computational framework to identify metabolic engineering strategies for the co-production of metabolites
Lavanya Raajaraam, Karthik Raman
bioRxiv 2021.09.18.460904; doi: https://doi.org/10.1101/2021.09.18.460904

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