Lars Juhl Jensen

Lars Juhl Jensen

professor, gruppeleder

Lars Juhl Jensen started his research career in Søren Brunak’s group at the Technical University of Denmark (DTU), from which he in 2002 received the Ph.D. degree in bioinformatics for his work on non-homology based protein function prediction. During this time, he also developed methods for visualization of microbial genomes, pattern recognition in promoter regions, and microarray analysis. From 2003 to 2008, he was at the European Molecular Biology Laboratory (EMBL) where he worked on literature mining, integration of large-scale experimental datasets, and analysis of biological interaction networks. Since the beginning of 2009, he has continued this line of research as a professor at the Novo Nordisk Foundation Center for Protein Research at the Panum Institute in Copenhagen and as a co-founder and scientific advisor of Intomics A/S. He is a co-author of more than 170 scientific publications that have in total received more than 20,000 citations. He was awarded the Lundbeck Foundation Talent Prize in 2003, his work on cell-cycle research was named “Break-through of the Year” in 2006 by the magazine Ingeniøren, his work on text mining won the first prize in the “Elsevier Grand Challenge: Knowledge Enhancement in the Life Sciences” in 2009, and he was awarded the Lundbeck Foundation Prize for Young Scientists in 2010.

Mulige interessekonflikter

Lars Juhl Jensen is member of the Board of Experts at Intomics A/S.

Udvalgte publikationer

  1. Udgivet

    STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

    Szklarczyk, D., Gable, A. L., Lyon, D., Junge, A., Wyder, S., Huerta-Cepas, J., Simonovic, M., Doncheva, Nadezhda Tsankova, Morris, J. H., Bork, P., Jensen, Lars Juhl & von Mering, C., 2019, I : Nucleic Acids Research. 47, D1, s. D607-D613 7 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. Udgivet

    A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

    Westergaard, David, Stærfeldt, H., Tønsberg, C., Jensen, Lars Juhl & Brunak, Søren, 2018, I : PLoS Computational Biology. 14, 2, 16 s., e1005962.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    Avoiding abundance bias in the functional annotation of posttranslationally modified proteins

    Schölz, C., Lyon, D., Refsgaard, J. C., Jensen, Lars Juhl, Choudhary, Chuna Ram & Weinert, B. T., nov. 2015, I : Nature Methods. 12, s. 1003-4 2 s.

    Publikation: Bidrag til tidsskriftKommentar/debatForskningfagfællebedømt

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