Target audience: Life Science Researchers
Keywords: Transcriptomics or • New developments in techn... or drugdiscovery or Tumor biology and genetics or structural biology or polyploidy for plant and an... or Disease maps or Open Targets or bioinformatics or Plant Phenotyping or Statistics
12 November 2019
Oeiras, PortugalPlant Phenotyping https://biodata.pt/event/plant-phenotyping-genotyping-data-management-workshop https://tess.elixir-europe.org/events/plant-phenotyping Plant phenotyping research has gone through a data revolution with the automation of plant phenotyping platforms, making it critical to adopt good data management practices in order the exploit the torrent of data to its full potential. Concretely, data should be published in a Findable, Accessible, Interoperable and Reusable (FAIR) way in order to enable the integration of data from disparate sources and the discovery of new knowledge. Yet, this is one of the more challenging domains to standardize, as it is extremely heterogeneous in terms of experimental settings and types of data. The ELIXIR infrastructure, with prominent contributions from BioData.pt (the Portuguese ELIXIR node) has been tackling this challenge at the European and international level, by developing standards and services to enable the management of plant phenotype-genotype data and its publication in accordance with the FAIR principles. In this workshop, we will be presenting the outcomes of this work from the ELIXIR plant sciences community, featuring a keynote from one of its key members, Dr. Anne-Françoise Adam-Blondon (ELIXIR-France), a detailed tutorial about the design and usage of the MIAPPE (Minimum Information About Plant Phenotyping Experiments), a hands-on data annotation and publication session, and a demonstration of ELIXIR’s Plant Data Search service. 2019-11-12 14:00:00 UTC 2019-11-12 19:00:00 UTC ITQB Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal Instituto de Tecnologia Química e Biológica António Xavier Oeiras Lisbon Portugal 2775-412 Oeiras ITQB NOVA - Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de LisboaBiodata.pt - Elixir's portuguese node of the european projec  Life Science ResearchersBiologists, Genomicists, Computer Scientistsplant researchers workshops_and_courses  Plant PhenotypingGenotypingdata managementbioinformatics
Practical Statistics for the Life Sciences
20 - 24 January 2020
Oeiras, PortugalPractical Statistics for the Life Sciences http://gtpb.igc.gulbenkian.pt/bicourses/2020/PSLS20/index.html https://tess.elixir-europe.org/events/practical-statistics-for-the-life-sciences This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data exploration. We then move into statistical modeling and data analysis. We will focus on the link between linear regression and analysis of variance. Together, these methods contribute to the study of General Linear Models. The course also introduces the basics of non-parametric testing, and addresses categorical data analysis and logistic regression. The concepts and methods are exclusively introduced via case-studies in the life sciences. For every study we elaborate on a concrete research question and then provide a study design, which is followed by data exploration. Next, we will focus on how to model the data and elaborate on the link between model parameters and the subject matter research question. 2020-01-20 09:30:00 UTC 2020-01-24 18:00:00 UTC The Gulbenkian Training Programme in Bioinformatics, Biodata.pt - Elixir's portuguese node of the european project Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande, Oeiras, Portugal Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande Oeiras Portugal 2780-156 Instituto Gulbenkian de Ciência email@example.com  Life Science Researchers 20 workshops_and_courses registration_of_interest Statistics
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