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SUMMARY:DDLS Research area conference
DESCRIPTION:Welcome to join a full day Research area conference within The SciLifeLab and Wallenberg national program for Data-Driven Life Science!  \n\n\n\nThe practice of life science is continuously becoming more data-dependent. The amount and complexity of data is growing exponentially\, and more scientific discoveries are enabled when data is openly available to researchers across the world. This is the basis for the SciLifeLab and Wallenberg National Program on Data-Driven Life Science (DDLS). \n\n\n\nThe program focuses on four strategic areas for data-driven research\, all of which are essential for improving the lives of people as well as animals and nature\, detecting and treating diseases\, protecting biodiversity and creating sustainability. \n\n\n\nData-driven Cell and molecular biologyData-driven Epidemiology and Biology of infectionsData-driven Evolution and biodiversityData-driven Precision medicine and diagnostics\n\n\n\nThe conference will focus on enthusing research within the four research areas and aims to bring together researchers within the field for discussion and sharing the latest within the research areas. The meeting will offer an exciting compilation of keynotes\, special lectures within the four fields and opportunities to meet and discuss with prominent researchers.  \n\n\n\nAnyone with interest in the data-driven research field is welcome to participate. The full-day conference will be virtual (Zoom). \n\n\n\nDate: March 22\, 2022. \n\n\n\nMaximum of 500 participants.  \n\n\n\nRegister here\n\n\n\nInformation about the DDLS Program\n\n\n\n \n\n\n\nProgram\n\n\n\n08:30WelcomeOlli Kallioniemi\, Director SciLifeLabPresentation of Research areas and future plansResearch area leads08:45Keynote:Big data in biology – what the pandemic has taught us.Professor Ewan Birney CBE FRS FMedSciDeputy Director General\, EMBLDirector\, EMBL-EBI09:15Break09:25Data-driven Cell and molecular biology\, Erik LindahlLive-Seq: Transcriptomic Profiling of Living Single Cells (25’+5′)Orane Guillaume-Gentil\, ETH ZürichHow personalised is your immune system? (25’+5′)Aleksandra Walczak\, Ecole Normale SupérieurePredicting the structure of protein complexes using alphafold (25’+5′)Arne Elofsson\, Stockholm University11:05Data-driven Precision medicine and diagnostics\, Janne LehtiöLongitudinal analysis of health data at population scale (35’+5′)Søren Brunak\, University of CopenhagenLife beyond the pixels: machine learning in single cell microscopy (20’+5′)Peter Horvath\, Biological Research Centre\, SzegedIntegration and interpretation of multiomics data using graph analytics (20’+5′)Alberto Santos Delgado\, University of Copenhagen/Boehringer Ingelheim12:35Lunch 13:05Welcome back!Moderator13:10Data-driven Epidemiology and Biology of infections\, Oliver BillkerLeveraging genomic data to identify and track emerging bacterial pathogens (25′)Laura Michelle Carroll\, EMBL\, newly recruited DDLS fellowUsing functional genomics & functional transcriptomics to understand Salmonella infection biology (25′)Jay Hinton\, University of LiverpoolTracking the rise and fall of SARS-CoV-2 variants in the UK with over two million viral genomes (25′)Jeffrey Barrett\, Wellcome Sanger Institute/Nightingale HealthPanel discussion (15′)14:40Break14:50Data-driven Evolution and biodiversity\, Fredrik RonquistBiodiversity research in the era of big data (25’+5′)Tobias Andermann\, Gothenburg UniversityInferring evolution using genomic data: why probabilistic modeling is important (25’+5′)Nicolas Lartillot\,CNRS / University of Lyon 1Using population genetic inference to gain medically relevant insights (25’+5′)Ida Moltke\, University of Copenhagen16:20Break16:30Discussion in Research specific breakout rooms (25′)16:55Closing words17:00End of day\n\n\n\nThe conference is part of the SciLifeLab and Wallenberg national program for the DDLS program\, funded by the Alice and Knut Wallenbergs Foundation.
URL:https://www.scilifelab.se/event/ddls-research-area-conference/
LOCATION:Online event via Zoom
CATEGORIES:Event
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