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  • Workshop on High-Content Imaging and Data Science for Virtual Screening and Drug Discovery

    13 - 17 May 2019

    Bled, Slovenia

    Elixir node event
    Workshop on High-Content Imaging and Data Science for Virtual Screening and Drug Discovery https://tess.elixir-europe.org/events/workshop-on-high-content-imaging-and-data-science-for-virtual-screening-and-drug-discovery High-throughput phenotypic screening, based on high-content imaging, is increasingly often used as a tool for drug discovery. Compound screens are used to find hits that produce the desired phenotypes in relevant cellular assays. Genomic screens are used to elucidate the underlying molecular pathways and identify suitable drug targets. Since high-content screening produces a lot of data, data science approaches such as statistics, machine learning and neural networks can help interpret the collected data. Just as virtual screening can be performed in chemoinformatics (learning predictive models for QSAR - quantitative structure-activity relations) from data obtained through compound screens, similar approaches can be taken in the context of high-throughput phenotypic screening. This will be the first event of its kind in the region of Slovenia and Friuli-Venezia-Giulia. The event will bring together a group of experts covering different topics in the fields of high-content screening, image analysis, chemoinformatics and machine learning. This will allow graduate students and researchers from both academia and industry to familiarize themselves with these cutting-edge topics. The workshop will have an impact on both the academic and industrial sector in the region (e.g. biotech companies of all sizes). The workshop is part of the INTERREG V-A Italy-Slovenia 2014-2020 project TRAIN (Big Data and Disease Models: A Cross- border Platform for Validated Biotech Industry Kits), which brings together experts on the topic from academia and industry. 2019-05-13 09:00:00 UTC 2019-05-17 18:00:00 UTC Jozef Stefan Institute, Ljubljana, Slovenia Rikli Balance Hotel, Cankarjeva cesta 4, SI-4260 Bled, Slovenia, Bled, Slovenia Rikli Balance Hotel, Cankarjeva cesta 4, SI-4260 Bled, Slovenia Bled Gorenjska Slovenia SI-4260 Drug discovery Genomics Rikli Balance Hotel elixir@mf.uni-lj.si European UnionINTERREG V-A Italy-Slovenia 2014-2020 project TRAIN PhD studentsGraduate studentsResearchersBusiness EntrepreneursBiotechnology CompaniesPharmaceutical Industry workshops_and_courses registration_of_interest INTERREGPhenotypic screeningData analysisVirtual ScreeningHigh-content imaging
  • Population Genetics and Demographic History: model-based approaches

    13 - 17 May 2019

    Oeiras, Portugal

    Elixir node event
    Population Genetics and Demographic History: model-based approaches https://tess.elixir-europe.org/events/pgdh19 Genetic and genomic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic (and genomic) data. In this course we will take a practical approach to the analysis of genetic and genomic data, but we will also provide some of the theoretical background required to understand the outputs of the software used. This course will be organised so as to mix lectures where important notions are introduced with practicals where freely available software will be used. While this will not be the focus of the course, we will also introduce and discuss genealogical (coalescent-based) simulation methods and those based on forward-in-time simulations. Altogether this will allow to discuss the potentialities and limitations of the tools available to the community. In this five-day course we will introduce the main concepts that underlie many of the models that are frequently used in population genetics. We will focus on the importance of demographic history (e.g. effective sizes and migration patterns) in shaping genetic data. We will go through the basic notions that are central to population genetics, insisting particularly on the statistics used to measure genetic diversity and population differentiation. The course will also cover a short introduction to coalescent theory, Bayesian inference in population genetics and data simulation. We will also introduce methods that have been recently developed to analyse genomic data such as the PSMC method of Li and Durbin that reconstructs the demographic history of a species or population with the genome of a single individual. Most theory will be put into practice in practical sessions, analyzing real and/or simulated datasets. In these sessions, we will look at measures of genetic diversity and differentiation and use methods to infer demographic history. We will learn how to perform coalescent simulations of genetic/genomic data (using mainly Richard Hudson's ms program). We will also show how to simulate data for PSMC analyses. This will allow users to compare the PSMC obtained with real data to those obtained for the models they used. We will also look at how habitat fragmentation can be simulated using an in-house program. Some exercises will make use of R scripts (R being a freely available statistical program). Basic R knowledge is a pre-requisite but we will provide a short introduction to R. The R statistical package is a very powerful tool to analyse data outputs from many population genetics software, and can also be used to simulate genetic data under simple demographic scenarios. 2019-05-13 09:00:00 UTC 2019-05-17 17:00:00 UTC The Gulbenkian Training Programme in Bioinformatics Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande, Oeiras, Portugal Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande Oeiras Portugal 2781-901 Instituto Gulbenkian de CiênciaBiodata.pt - Elixir's portuguese node of the european projec bicourses@igc.gulbenkian.pt [] Basic molecular population genetics and molecular ecology. Basic R knowldedge. Basic knowledge of genomic data. 20 workshops_and_courses registration_of_interest Model-based Population Genetics
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