Previous events - Page 5
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."
Dr. Elana Fertig, Associate Professor of Oncology and Applied Mathematics and Statistics Assistant Director of the Sydney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, USA, will present the lecture "Uncovering hidden sources of transcriptional dysregulation arising from inter- and intra-tumor heterogeneity."
Dr. Francesca Buffa, Associate Professor, Computational Biology and Integrative Genomics, Department of Oncology, CRUK/MRC Institute, University of Oxford, will present the lecture "In-silico modelling of the tumour microenvironment."
Dr. Céline Vallot, Principal Investigator of the "Dynamics of epigenetics plasticity in cancer" group at the Curie Institute, Paris, France, will present the lecture "Tracking the dynamics of chromatin states in tumor cells at single-cell resolution: response and resistance to cancer therapies."
Dr. Stephan Ossowski, Group Leader at the Institute for Medical Genetics and Applied Genomics, University of Tübingen, Germany, will present the lecture "Computational Analysis of NGS Data for Clinical Diagnostics."
Dr. Alfonso Valencia, Group Leader and Director of the Life Sciences Department of the Barcelona Supercomputing Center, will present the lecture "Networks based approaches in biology and biomedicine."
Dr. Eva Maria Novoa, Group Leader of the Epitranscriptomics and RNA Dynamics Group at the Centre for Genomic Regulation, Barcelona, Spain, will present the lecture "Elucidation of RNA structure dynamics using second- and third-generation sequencing technologies."
Dr. Valentina Boeva, Group Leader at the Institut Cochin, Paris, France, will present the lecture entitled "Discovery of two epigenetic states of neuroblastoma cells via the analysis of super-enhancer landscape."
Dr. Leonardo Bottolo, Reader in Statistics for Biomedicine, Dept of Medical Genetics, University of Cambridge, will present his research on "A global-local approach for detecting eQTL hotspots in ultra-high multiple response regressions".
Dr. Albin Sandelin, Professor, The Bioinformatics Centre, Department of Biology & BRIC, Copenhagen University, Denmark, will present the lecture entitled "The enhancer and promoter landscape of inflammatory bowel disease".
Dr. Chris Wallace, Senior Research Fellow, MRC Biostatistics Unit, Cambridge University, UK, will present her research on "Conditional false discovery rates in genetic association studies of rare diseases and disease subtypes".
This seminar is a joint event between the Sven Furberg seminars in Bioinformatics and Statistical genomics and the Hans Prydz Guest Lectures.
The two lectures will be presented by Dr. Tuuli Lappalainen, Junior Investigator and Core Member at the New York Genome Center, and Assistant Professor in the Department of Systems Biology at Columbia University, New York, USA, and Dr. Julio Saez-Rodriguez, Professor of Computational Biomedicine at the RWTH-Aachen University Hospital, Aachen, German, and visiting group leader at the EMBL-EBI.
Dr. Judith Zaugg, Group Leader at EMBL in Heidelberg, Germany, will present the lecture entitled "Regulatory genomics: from basic biology to disease mechanisms."
Dr. Alex Lewin, Reader in Statistics, based at the Institute of Environment, Health and Societies of the Brunel University London, will present the lecture entitled "Bayesian inference on high-dimensional Seemingly Unrelated Regressions, applied to metabolomics data."
Dr. Eivind Valen, Group Leader at the Computational Biology Unit of the University of Bergen, will present the lecture "Searching for function in the dark matter of the genome."
Dr. Christopher Yau, Reader in Computational Biology based in the Centre for Computational Biology at the University of Birmingham will present the lecture "Probabilistic modelling approach for pseudotime estimation in single cells and populations."
Unfortunately, this seminar has been cancelled.
Dr. Robin Andersson, Assistant Professor, University of Copenhagen, Denmark, will present the lecture Characterisation of regulatory activities and active chromatin architectures from transcription initiation events.