Previous events
We will host a combined Sven Furberg and Oslo Chromatin Club seminar with lectures from Drs. Servant, Papantonis, and Herrmann.
Dr. Boris Lenhard, Professor of Computational Biology at the MRC London Institute of Medical Sciences and Imperial College London, UK, will present his research on "Promoter architectures and responsiveness to enhancers in long-range developmental regulation."
Dr. Jotun Hein, Professor, Department of Statistics, University of Oxford, will present his research on "Algorithms for Recombination Detection with an Application to SARS CoV-2."
Dr. Julien Gagneur, Professor in Computational Molecular Medicine at the Technical University of Munich, Germany, will present his research on "Detecting and predicting aberrant splicing in human and Species-aware DNA language modeling."
Dr. Marta Melé, group leader at the Barcelona Supercomputing Centre, Spain, will present her research on "The anatomy of expression and alternative splicing variation across human traits."
Dr. Renée Beekman, Group Leader at the Centre for Genomic Regulation, Barcelona, Spain, will present her lecture "Understanding early lymphoma formation from a single-cell epigenomics and 3D chromatin perspective."
Dr. Bart Deplancke, Professor at the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, will present his lecture "Resolving the molecular mechanisms underlying regulatory variation-mediated phenotypic diversity."
Dr. Fran Supek, Group Leader at the Institute for Research in Biomedicine, Barcelona, Spain, will present his work on "Mutation clusters in cancer genomes: causes, consequences and opportunities."
Dr. Chloé-Agathe Azencott, Researcher at the Centre for Computational Biology (CBIO) of Mines ParisTech, Institut Curie, and INSERM, Paris, France, will present her work on "Network-guided genome-wide association studies."
Dr. Wilbert Zwart, Group Leader at The Netherlands Cancer Institute, will present the lecture "Functional epigenomics in prostate cancer: for basic biology to clinical trials, and back again."
Dr. Marcel Schulz, Professor for Computational Biology, Institute of Cardiovascular Regeneration, Uniklinikum and Goethe University, Frankfurt, Germany, will present the talk "Understanding gene expression regulation by integration of epigenome and RNA data."
Dr. Esti Yeger-Lotem, Associate Professor, Department of Clinical Biochemistry & Pharmacology, Ben-Gurion University of the Negev, Israel, will present her lecture "Elucidating disease mechanisms via their tissue-selectivity."
Dr. Juho Rousu, Professor in Computer Science, Aalto University, Finland, will present the lecture "Machine Learning of Drug Combination Responses."
Dr. Shaun Mahony, Assistant Professor, Biochemistry & Molecular Biology Department, Penn State University, USA, will present the lecture "Using neural networks to characterize the predeterminants of induced transcription factor binding sites."
Dr. Ville Mustonen, Professor at the Department of Computer Science and Institute of Biotechnology, University of Helsinki and the Helsinki Institute for Information Technology, Finland, will present the lecture "Using computational methods and evolutionary theory to combat drug resistance."
Dr. Evangelia Petsalaki, Group Leader at EMBL-EBI, will present the lecture entitled "Integrative studies of context-specific signalling."
Dr. Florian Markowetz, Group Leader of the Integrative Cancer Biology team at the Cancer Research UK Cambridge Institute, Cambridge, UK, will present his current research.
Dr. Matti Nykter, Professor at the Tampere University, Finland, will present the lecture "Computational analysis to understand aberrant gene expression and treatment induced responses in prostate cancer."
Dr. Colm Ryan, Assistant Professor at the University College Dublin, will present the lecture "Identifying robust genetic interactions in cancer."
Dr. Tero Aittokallio, Professor at the Oslo Centre for Biostatistics and Epidemiology and Group Leader at the Institute for Cancer Research, Oslo, Norway, will present his lecture "Predictive modelling of drug combination effects for precision medicine."
We are pleased to announce that Dr. Adam Novak will be the guest speaker of our upcoming Sven Furberg Seminar in Bioinformatics and Statistical Genomics on the coming Friday, Sep 27, at 14:30 in Lille auditorium, Kristen Nygaards hus.
Dr. Adam Novak, senior software engineer in the UCSC Genomics Institute, will present his lecture "Graph-based genome representations".
Abstract:
Graph-based approaches to genomics problems can beat out traditional linear-reference-based tools, reducing reference allele bias and improving structural variant calling. For these reasons and others, graph genomics techniques are becoming more popular, and more graph-based tools are being developed. Here I present lessons on genome graph API design learned during the development of the vg variation graph toolkit. I show how techniques and libraries extracted from vg can be used to help developers quickly bootstrap new graph-based projects, forming an ecosystem of interoperable graph genomics tools.
Dr. Mark Robinson, Associate Professor of Statistical Genomics, Institute of Molecular Life Sciences, University of Zurich, Switzerland, will present his lecture "Statistical methods for flexible differential analysis of multi-sample multi-condition single-cell RNA-seq datasets."
Dr. Günter Klambauer, Institute for Bioinformatics, Johannes Kepler University Linz, Austria, will present the lecture "Deep Learning methods in early-stage drug discovery."
Dr. Pekka Marttinen, Assistant Professor, Helsinki Institute for Information Technology HIIT, Aalto University, Finland, will present the lecture "A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation."
Dr. Anne-Laure Boulesteix, associate professor at the Department of Medical Informatics, Biometry and Epidemiology of the Faculty of Medicine, Ludwig Maximilian University of Munich, Germany, will present her lecture "A plea for benchmarking and against fishing expeditions with focus on the statistical analysis of omics data."