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CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networks
Vimaladhasan Senthamizhan, Sunanda Subramaniam, Arjun Raghavan, View ORCID ProfileKarthik Raman
doi: https://doi.org/10.1101/2021.02.08.430024
Vimaladhasan Senthamizhan
1Initiative for Biological Systems Engineering, IIT Madras, Chennai - 600 036, India
2Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai - 600 036, India
3Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai - 600 036, India
Sunanda Subramaniam
1Initiative for Biological Systems Engineering, IIT Madras, Chennai - 600 036, India
Arjun Raghavan
3Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai - 600 036, India
4Department of Biomedical Engineering, McMaster University, Hamilton, ON, Canada. Present address: University of Manitoba, Winnipeg, Canada
Karthik Raman
1Initiative for Biological Systems Engineering, IIT Madras, Chennai - 600 036, India
2Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai - 600 036, India
3Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai - 600 036, India
Posted February 08, 2021.
CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networks
Vimaladhasan Senthamizhan, Sunanda Subramaniam, Arjun Raghavan, Karthik Raman
bioRxiv 2021.02.08.430024; doi: https://doi.org/10.1101/2021.02.08.430024
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