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Research

Dr Supreeta Vijayakumar

Senior Research Associate

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  1. 2017
  2. Published

    Multi-omic data integration elucidates Synechococcus adaptation mechanisms to fluctuations in light intensity and salinity

    Vijayakumar, S. & Angione, C., 26/04/2017, Bioinformatics and Biomedical Engineering: 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part I. Rojas, I. & Ortuño, F. (eds.). Cham: Springer, p. 220-229 10 p. (Lecture Notes in Computer Science; vol. 10208).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Poly-omic statistical methods describe cyanobacterial metabolic adaptation to fluctuating environments

    Vijayakumar, S. & Angione, C., 11/08/2017. 2 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper

  4. 2018
  5. Published

    Optimization of multi-omic genome-scale models: Methodologies, hands-on tutorial, and perspectives

    Vijayakumar, S., Conway, M., Lió, P. & Angione, C., 2018, Metabolic Network Reconstruction and Modeling: Methods and Protocols. Fondi, M. (ed.). New York, NY: Humana Press, 19 p. (Methods in Molecular Biology).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  6. Published

    Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling

    Vijayakumar, S., Conway, M., Lió, P. & Angione, C., 30/11/2018, In: Briefings in Bioinformatics. 19, 6, p. 1218–1235 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. 2019
  8. Published

    Social dynamics modeling of chrono-nutrition

    Stefano, A. D., Scatà, M., Vijayakumar, S., Angione, C., Corte, A. L. & Liò, P., 30/01/2019, In: PLoS Computational Biology. 15, 1, p. 1-25 25 p., e1006714.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Combining metabolic modelling with machine learning accurately predicts yeast growth rate

    Culley, C., Vijayakumar, S., Zampieri, G. & Angione, C., 8/07/2019, p. 1-2. 2 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Abstract › peer-review

  10. Published

    Machine and deep learning meet genome-scale metabolic modeling

    Zampieri, G., Vijayakumar, S., Yaneske, E. & Angione, C., 11/07/2019, In: PLoS Computational Biology. 15, 7, p. 1-24 24 p., e1007084.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  11. 2020
  12. Published

    A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth

    Culley, C., Vijayakumar, S., Zampieri, G. & Angione, C., 4/08/2020, In: Proceedings of the National Academy of Sciences of the United States of America. 117, 31, p. 18869-18879 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  13. Published

    A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria

    Vijayakumar, S., Rahman, P. K. S. M. & Angione, C., 18/12/2020, In: iScience. 23, 12, p. 1-39 39 p., 101818.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  14. 2021
  15. Published

    Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002

    Vijayakumar, S. & Angione, C., 17/12/2021, In: STAR Protocols. 2, 4, p. 1-57 57 p., 100837.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  16. 2022
  17. Published

    A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling

    Vijayakumar, S., Magazzù, G., Moon, P., Occhipinti, A. & Angione, C., 24/05/2022, Computational Systems Biology in Medicine and Biotechnology: Methods and Protocols. Cortassa, S. & Aon, M. A. (eds.). New York: Humana Press, p. 87-122 36 p. (Methods in Molecular Biology ; vol. 2399).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  18. 2024
  19. Published

    Kinetic modeling identifies targets for engineering improved photosynthetic efficiency in potato (Solanum tuberosum cv. Solara)

    Vijayakumar, S., Yu, W., Lehretz, G., Taylor, S., Carmo-Silva, E. & Long, S., 31/01/2024, In: The Plant Journal. 117, 2, p. 561-572 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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