4 events found
Content provider: ELIXIR Portugal
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
Population Genetics and Demographic History: model-based approaches
13 - 17 May 2019
Oeiras, PortugalPopulation Genetics and Demographic History: model-based approaches http://gtpb.igc.gulbenkian.pt/bicourses/2019/PGDH19/index.html 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 firstname.lastname@example.org  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
Cool Tools for Science
29 May 2019
Lisbon, PortugalCool Tools for Science https://www.itqb.unl.pt/cooltools https://tess.elixir-europe.org/events/cool-tools-for-science Dear Researcher in Life Sciences, Have you created a customized solution for your research? A software? A gadget? A life-changing protocol? Your creation might be useful for someone else! Come and share it at the first "Cool Tools for Science" meeting, a great chance to show and exchange a new dimension of your work: user innovation. Tell us about your inventions and how they improved your research performance, exhibit them to your colleagues and see what they have come up with too. Try to win the prize for the best innovation! 2019-05-29 09:00:00 UTC 2019-05-29 17:00:00 UTC Biodata.pt; Congento; RNEM - Portuguese Mass Spectrometry Network Champalimaud Foundation, Avenida Brasília, Lisbon, Portugal Champalimaud Foundation, Avenida Brasília Lisbon Portugal 1400-038 Biodata.pt - Elixir's portuguese node of the european projecCongentoRNEM - Portuguese Mass Spectrometry NetworkFChampalimaud - Fundação ChampalimaudFCUL - Faculdade de Ciências da Universidade de LisboaGenome.pt IGC - Instituto Gulbenkian de CiênciaIMM - Instituto de Medicina Molecular João Lobo Antunes INESC-ID - Instituto de Engenharia de Sistemas e Computadores, Investigação e DesenvolvimentoITQB NOVA - Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de LisboaPPBI - Portuguese Platform of BioImaging PTNMR - Portuguese Nuclear Magnetic Resonance Network email@example.com  Researchers in Life Sciences awards_and_prizegivings registration_of_interest Gadgets, software
Summer School in Metabolic Modelling
3 - 7 June 2019
Braga, PortugalSummer School in Metabolic Modelling http://s2m2.bio.di.uminho.pt/ https://tess.elixir-europe.org/events/summer-school-in-metabolic-modelling This 5-day duration summer school will focus on user-friendly tools for metabolic model reconstruction and simulation and experimental procedures to improve those models. The course is directed to everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required. Course attendants will be participating in activities covering the following topics: - Basic concepts in metabolic modelling - Genome annotation and metabolic model reconstruction with merlin. - KBase: A collaborative, open environment for systems biology of plants, microbes and their communities. - Optflux: an open-source software platform for in silico metabolic engineering. - Experimental determination of biomass composition and its inclusion in genome-scale metabolic models. - Experimental metabolomics analysis using GC-MS and its inclusion in genome-scale metabolic models. 2019-06-03 09:00:00 UTC 2019-06-07 17:00:00 UTC Universidade do Minho University of Minho - Campus of Gualtar, Rua da Universidade, Braga, Portugal University of Minho - Campus of Gualtar, Rua da Universidade Braga Portugal Portugal 4710-057 Braga Universidade do Minho firstname.lastname@example.org  everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required. 20 workshops_and_courses registration_of_interest metabolic modelling, Genome, open-source software platform
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