We are please to announce that our postdoc Sean Alexander Bankier together with the co-authors published the manuscript: “Plasma cortisol-linked gene networks in hepatic and adipose tissues implicate corticosteroid-binding globulin in modulating tissue glucocorticoid action and cardiovascular risk”. Frontiers | Plasma cortisol-linked gene networks in hepatic and adipose tissues implicate corticosteroid-binding globulin in modulating tissue …
RNA molecules can form secondary and tertiary structures that can regulate their localization and function. These structures are rarely static and different copies of the same RNA can often adopt many different conformations. Despite this most methods are only capable of characterizing RNA at the consensus level, looking at the average over RNA molecules. A new …
Our group leader Markus Miettinen has his paper out with the title: Structure of POPC Lipid Bilayers in OPLS3e Force Field. Read here.
CBU group leader, Markus Miettinen, together with the co-authors published a perspective paper “Emerging Era of Biomolecular Membrane Simulations: Automated Physically-Justifed Force Field Development and Quality-Evaluated Databanks” in which they discuss the current status of all-atom simulations of biomembranes, and outline their view on how these should be further developed by harnessing large databanks and …
We are congratulating Iain George Johnston and the coauthors with the paper that has recently come out: “Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution”
Our PhD student Muhammad Ammar Malik and Professor Tom Luk Michoel published a paper in which they analyse the mathematical structure of a class of statistical models for learning hidden factors influencing gene expression data and show that a new algorithm based on the analytical results is orders of magnitude faster than the standard algorithms …
Muhammad Ammar Malik and Tom Luk Michoel published a paper in which they analyse the mathematical structure of a class of statistical models for learning hidden factors influencing gene expression data and show that a new algorithm based on the analytical results is orders of magnitude faster than the standard algorithms for solving this class of models. Read …
The Röblitz group underpinned the theory that ovarian follicles grow in cohorts (“waves”) and added further scientific evidence about the efficiency of variable-start ovarian stimulation protocols by using mathematical modelling and numerical simulations. Read the paper here
The stress hormone cortisol modulates fuel metabolism, cardiovascular homoeostasis, mood, inflammation, and cognition. Sean and Tom contributed to a genome-wide meta-analysis that mapped genetic variants associated with plasma cortisol levels and how they affect gene expression in adipose tissues. Read the paper here.
Ramin published a new Graph Feature Auto-Encoder for integrating biological networks with gene expression data which can impute missing values in for instance single-cell RNAseq data more accurately than existing methods. Read the paper here.
