BioData.pt Business Forum: Advanced data management for added value
6 May 2019
Oeiras, PortugalBioData.pt Business Forum: Advanced data management for added value https://www.eventbrite.com/e/forum-biodatapt-empresas-gestao-avancada-de-dados-para-a-criacao-de-valor-tickets-58432946516?aff=eac2 https://tess.elixir-europe.org/events/biodata-pt-business-forum Research and development institutions annually produce zetabytes of biological information, of which only terabytes are used by the bio-industry. There is a large biological information, the big biodata, still to be explored by the bio-industry, which can add value into new products and services. The BioData.pt Business Forum: advanced data management for added value, organized by BioData.pt and PBio, will bring together four national companies related to the health sector, the sea, agriculture and bioindustry, and tell their stories to inspire new ideas and new businesses. There will also be an opportunity to discuss best practices in curation, management and use of biodata, as well as the use of bioinformatics tools essential to its success. 2019-05-06 14:30:00 UTC 2019-05-06 18:00:00 UTC Biodata.pt 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 CiênciaBiodata.pt - Elixir's portuguese node of the european projec email@example.com  Clinical ScientistsbioinformaticiansBiologists, Genomicists, Computer Scientistssoftware developers, bioinformaticiansbiology and bioinformatics sophomore undergraduatesbiocurators Institutions and other external Institutions or individualsIndustry health professionalsplant researchersBiomedical researchers studies human diseases or developmental biology 120 meetings_and_conferences  Biodata, Bioinformatics, Biodata
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 firstname.lastname@example.org  Life Science Researchers 20 workshops_and_courses registration_of_interest Statistics
Automated Workflow Composition in the Life Sciences
9 - 13 March 2020
Leiden, NetherlandsAutomated Workflow Composition in the Life Sciences https://www.lorentzcenter.nl/lc/web/2020/1201/info.php3?wsid=1201&venue=Oort https://tess.elixir-europe.org/events/automated-workflow-composition-in-the-life-sciences In the age of computational science, researchers in the life sciences – just as in other domains – regularly face the need of composing several individual software tools into pipelines or workflows that perform the specific data analysis processes that they need in their research. For over 20 years now, dedicated scientific workflow management systems have been supporting scientists in this task, and they continue to gain popularity. In fact, recent years have seen significant progress in the functional annotation of bioinformatics software tools, as well as their virtualization, containerization and assembly into workflows for automatically executing the processes. At least since the rise of the Semantic Web in the early 2000s, also the idea of semantics-based automated composition of workflows has been around to simplify the work with scientific workflows further and free life science researchers from having to deal with the technicalities of software composition. This would not only save valuable research time, but also reduce errors, allow benchmarking of data analysis pipelines and enable new scientific findings by discovering workflows that researchers would not have thought of themselves. However, despite its obvious potential and appeal, the need for optimizing data analysis workflows, and despite different research groups working on the topic, automated workflow composition has not yet arrived in the daily practice of life science researchers. The reasons for this are manifold. Some are more practical (for example the lack of automatic composition tools in the commonly used software frameworks), others are of more fundamental nature (such as questions on specification languages, composition algorithms, formal semantics and workflows representations). On one important aspect, namely the semantic annotation of tools on a large scale, the life science community has made significant progress in the last years: The EDAM ontology provides a controlled vocabulary of bioinformatics operations, data types and formats, and the bio.tools registry has become a large collection of bioinformatics tools that are semantically annotated with terms from the EDAM ontology. As demonstrated in a recent Bioinformatics publication (https://academic.oup.com/bioinformatics/article/35/4/656/5060940), this forms a solid basis for performing automated workflow composition in the life sciences domain. Nevertheless, it is still a long way to its use in daily scientific practice. This workshop will bring together researchers and practitioners who have been working on different aspects related to automated workflow composition in the life sciences. These include life science researchers, tool providers, infrastructure developers, ontologists, algorithmics researchers and many more. They do not normally come together as a group at the regular scientific events, so a Lorentz workshop devoted to this topic provides a unique opportunity to join forces and together significantly advance the field. 2020-03-09 09:00:00 UTC 2020-03-13 17:00:00 UTC Jon Ison, Anna-Lena Lamprecht, Magnus Palmblad and Veit Schwämmle Lorentz Center Oort, Leiden, Netherlands Lorentz Center Oort Leiden Netherlands 2333 Omics Workflows Leiden University email@example.com ELIXIRLorentz CenterLUMC software developers, bioinformaticiansbiocurators 50 workshops_and_courses  
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