You can also find a list of publications on Google Scholar.
Of Special Interest
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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, “Construction of in silico protein-protein interaction networks across different topologies using machine learning”, bioRxiv, 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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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.
All publications (chronologically)
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Y. Xu, …, L. Lannelongue, … M. Inouye, “An atlas of genetic scores to predict multi-omic traits”, bioRxiv, April 2022 (in review).
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L. Lannelongue, and M. Inouye, “Construction of in silico protein-protein interaction networks across different topologies using machine learning”, 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