J
Jens Lagergren
Researcher at Royal Institute of Technology
Publications - 102
Citations - 5049
Jens Lagergren is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Tree (data structure) & Phylogenetic tree. The author has an hindex of 37, co-authored 88 publications receiving 4552 citations. Previous affiliations of Jens Lagergren include Science for Life Laboratory & SERC Reliability Corporation.
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Easy problems for tree-decomposable graphs
TL;DR: Using a variation of the interpretability concept, it is shown that all graph properties definable in monadic second-order logic with quantification over vertex and edge sets can be decided in linear time for classes of graphs of fixed bounded treewidth given a tree-decomposition.
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Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity
Emelie Berglund,Jonas Maaskola,Niklas Schultz,Stefanie Friedrich,Maja Marklund,Joseph Bergenstråhle,Firas Tarish,Anna Tanoglidi,Sanja Vickovic,Ludvig Larsson,Fredrik Salmén,Christoph Ogris,Karolina Wallenborg,Jens Lagergren,Patrik L. Ståhl,Erik L. L. Sonnhammer,Thomas Helleday,Joakim Lundeberg +17 more
TL;DR: Intra-tumor heterogeneity is one of the biggest challenges in cancer treatment today and here, the authors investigate transcriptional heterogeneity in prostate cancer, examining expression profiles of different tissue components and highlighting expression gradients in the tumor microenvironment.
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SUMOylation mediates the nuclear translocation and signaling of the IGF-1 receptor.
TL;DR: IGF-1 promotes the modification of IGF-1R by small ubiquitin-like modifier protein–1 (SUMO-1) and its translocation to the nucleus, demonstrating a SUMOylation-mediated mechanism of IGF -1R signaling that has potential implications for gene regulation.
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Bayesian gene/species tree reconciliation and orthology analysis using MCMC
TL;DR: This is the first successful introduction of this type of probabilistic methods, which flourish in phylogeny analysis, into reconciliation and orthology analysis, and develops a Bayesian analysis based on MCMC which facilitates approximation of an a posteriori distribution for reconciliations.
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Simultaneous Bayesian gene tree reconstruction and reconciliation analysis.
TL;DR: A probabilistic model integrating gene duplication, sequence evolution, and a relaxed molecular clock for substitution rates that enables genomewide analysis of gene families and is able to draw biologically relevant conclusions concerning gene duplications creating key yeast phenotypes is presented.