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Keywords: Bioinformatics 

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City: Bogota  or Athens  or Tarragona  or Berlin  or Oeiras  or Ljubljana 

  • Computational PANGenomics

    9 - 13 September 2019

    Oeiras, Portugal

    Elixir node event
    Computational PANGenomics https://tess.elixir-europe.org/events/computational-pangenomics Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation as the number of sequenced genomes grows. In particular, they tend to bias us away from the observation of variation in the genomes we study. A general solution to this problem is to use a pangenome that incorporates both sequence and variation from many individuals as our reference system. This pangenome is naturally modelled as a graph with annotations and can provide all the functionality traditionally provided by linear reference genomes. Unlike linear reference genomes, a pangenome readily incorporates both small and large variation, allowing bias-free genotyping at known alleles. In this course, we will explore the use of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types. Such techniques will aid any researcher working on organisms of high genetic diversity or on organisms lacking a high-quality reference genome. This course targets all researchers interested in learning about an exciting paradigm shift in computational genomics. 2019-09-09 09:30:00 UTC 2019-09-13 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 Ciência, Biodata.pt - Elixir's portuguese node of the european project bicourses@igc.gulbenkian.pt [] This course is oriented towards biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity. 20 workshops_and_courses registration_of_interest BioinformaticsGenomics
  • Integrative Biological Interpretation using Proteomics

    4 - 7 November 2019

    Oeiras, Portugal

    Elixir node event
    Integrative Biological Interpretation using Proteomics https://tess.elixir-europe.org/events/integrative-biological-interpretation-using-proteomics Quantitative proteomics by mass spectrometry has become an essential tool for multi-omics studies aiming at answering important biological questions in a system-wide perspective. Proteomics data contain rich and deep information that can become challenging to extract, interpret, and interface with other experimental outcomes. This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments. We will focus on quality control from an end-user perspective, link to the underlying genomic context, multivariate analysis, protein complexes investigation, and compare different platforms for biological interpretation. After the training, participants will be able to critically interpret results, troubleshoot analyses, and will be ready to successfully attend more specialized training e.g. in proteogenomics or biological network analysis. 2019-11-04 09:30:00 UTC 2019-11-07 18:00:00 UTC The Gulbenkian Training Programme in Bioinformatics, Biodata.pt - Elixir's portuguese node of the european project R. Q.ta Grande 6, 6, Rua Quinta Grande, Oeiras, Portugal R. Q.ta Grande 6, 6, Rua Quinta Grande Oeiras Portugal 2781-901 Instituto Gulbenkian de Ciência bicourses@igc.gulbenkian.pt [] This training course is aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments. 20 workshops_and_courses registration_of_interest BioinformaticsProteomics
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