You can also find a list of publications on Google Scholar.
Of Special Interest
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L. Lannelongue, H. G. Aronson, A. Bateman, E. Birney, T. Caplan, M. Juckes, J. McEntyre, A. D. Morris, G. Reilly and M. Inouye, “GREENER principles for environmentally sustainable computational science”, Nature Computational Science, June 2023.
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L. Lannelongue, J. Grealey and M. Inouye, “Green Algorithms: Quantifying the Carbon Footprint of Computation”, Advanced Science, May 2021.
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L. Lannelongue and M. Inouye, “Carbon footprint estimation for computational research}{Nature Reviews Methods Primers” Nature Reviews Methods Primers, February 2023.
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Y. Xu, …, L. Lannelongue, … M. Inouye, “An atlas of genetic scores to predict multi-omic traits”, Nature, April 2023.
All publications (chronologically)
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N. E. Souter, L. Lannelongue, G. Samuel, C. Racey, L. Colling, N. Bhagwat, R. Selvan, C. Rae, “Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging” OSF (preprint), August 2023 (in review)
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L. Lannelongue, H. G. Aronson, A. Bateman, E. Birney, T. Caplan, M. Juckes, J. McEntyre, A. D. Morris, G. Reilly and M. Inouye, “GREENER principles for environmentally sustainable computational science”, Nature Computational Science, June 2023.
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L. Bouza Heguerte, A. Bugeau and L. Lannelongue, “How to estimate carbon footprint when training deep learning models? A guide and review” arXiv (preprint), June 2023.
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Y. Xu, …, L. Lannelongue, … M. Inouye, “An atlas of genetic scores to predict multi-omic traits”, Nature, April 2023.
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L. Lannelongue and M. Inouye, “Carbon footprint estimation for computational research}{Nature Reviews Methods Primers” Nature Reviews Methods Primers, February 2023.
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L. Lannelongue, and M. Inouye, “Inference mechanisms and prediction of protein-protein interactions”, bioRxiv, February 2022.
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J. Grealey, L. Lannelongue, W. Saw, J. Marten, G. Meric, S. Ruiz-Carmona and M. Inouye, The carbon footprint of bioinformatics, Molecular Biology and Evolution, February 2022.
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L. Lannelongue, J. Grealey, A. Bateman and M. Inouye, “Ten Simple Rules to Make Your Computing More Environmentally Sustainable.”, PLOS Computational Biology, October 2021
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L. Lannelongue, J. Grealey and M. Inouye, “Green Algorithms: Quantifying the Carbon Footprint of Computation”, Advanced Science, May 2021.
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J. Roos, C. Aubanel, Z. Niewiadomska, L. Lannelongue, C. Maenhoudt, and A. Fontbonne, “Triplex doppler ultrasonography to describe the uterine arteries during diestrus and progesterone profile in pregnant and non-pregnant bitches of different sizes”, Theriogenology, January 2020.
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M. Inouye and L. Lannelongue, “Gene Regulatory Networks to Explain Coronary Artery Disease Heritability”, Journal of the American College of Cardiology, June 2019.
Science communication
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L. Lannelongue, “Carbon footprint: the (not so) hidden cost of high performance computing”, BCS’ ITNOW, January 2022.
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L. Lannelongue, “Data scientists déconnectés - machine learning et covid-19”, Variance ENSAE, July 2021.
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L. Lannelongue, J. Grealey and M. Inouye, “Green algorithms for health data science”, HDR-UK, March 2020