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9 events found

Node: Portugal 

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City: Gebze  or Seattle  or Oeiras  or Leiden  or Berlin 

  • PDA17 Proteomics Data Analysis

    6 March 2017

    Oeiras, Portugal

    Elixir node event
    PDA17 Proteomics Data Analysis https://tess.elixir-europe.org/events/proteomics-data-analysis    IMPORTANT DATES for this Course   Deadline for applications: Feb 25th 2017 (New)   Course date: March 6th - March 10th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course description Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering both protein identification and quantification. The core focus will be on shotgun proteomics data. Quantification through isobaric labels (iTRAQ, TMT) and label-free precursor peptide (MS1) ion intensities will also be introduced. The course will rely exclusively on free and user-friendly software, all of which can be directly applied in your lab upon your return from the course. An introduction to available online resources and repositories will also be given. Here you will see how to link the results from proteomic experiments with external data to conduct pathway, gene ontology and interaction analyses. In the course, you will also learn how to submit data to the ProteomeXchange online repositories, and how to browse and reprocess publicly available data from these repositories. The course will provide a solid basis for beginners, but also new perspectives to those already familiar with standard data interpretation procedures in proteomics. Note: this is a highly interactive course. It requires that the participants interact with each other and with the course instructors, in order to reach the learning outcomes in full. Course Pre-requisites The participants should have a basic knowledge about mass spectrometry based proteomics. Experience in analyzing proteomics data is an advantage, but not mandatory. The course does not require advanced computer skills. 2017-03-06 09:30:00 UTC 2017-03-06 09:30:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 2781-901 Mass spectrometry Proteomics Instituto Gulbenkian de Ciência bicourses@igc.gulbenkian.pt [] [] 20 workshops_and_courses registration_of_interest []
  • PGDH17 Population Genetics and Demographic History: model-based approaches

    13 March 2017

    Oeiras, Portugal

    Elixir node event
    PGDH17 Population Genetics and Demographic History: model-based approaches https://tess.elixir-europe.org/events/pgdh17-population-genetics-and-demographic-history    IMPORTANT DATES for this Course    Deadline for applications: Mar 6th 2017 (New)    Course date: March 13th - March 17th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course description 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 two methods that have been recently developed to analyse genomic data. The PSMC of Li and Durbin reconstructs the demographic history of a species or population with the genome of a single individual. The Rehh package is an R implementation of the Extended Haplotype Homozygosity (EHH) test for selective sweeps and looks for signals of selection based on the analysis of genomic regions. 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 SPAms and ms). We will also show how to simulated 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. Course Pre-requisites Basic molecular population genetics and molecular ecology. Basic R knowldedge. Basic knowledge of genomic data. 2017-03-13 09:30:00 UTC 2017-03-13 09:30:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 2781-901 Genomics Population genetics [] bicourses@igc.gulbenkian.pt [] [] 20 workshops_and_courses registration_of_interest []
  • ADER17 - Analysis of Differential Expression with RNAseq

    17 April 2017

    Oeiras, Portugal

    Elixir node event
    ADER17 - Analysis of Differential Expression with RNAseq https://tess.elixir-europe.org/events/ader17-analysis-of-differential-expression-with-rnaseq    IMPORTANT DATES for this Course   Deadline for applications: April 10th 2017   Course dates: April 17th - April 20th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application, until we reach 20 participants. Course description Overview High-throughput technologies allow us to detect transcripts present in a cell or tissue. This course covers practical aspects of the analysis of differential gene expression by RNAseq. Participants will be presented with real world examples and work with them in the training room, covering all the steps of RNAseq analysis, from planning the gathering of sequence data to the generation of tables of differentially expressed gene lists and visualization of results. We we will also cover some of the initial steps of secondary analysis, such as functional enrichment of the obtained gene lists. Target Audiences Life Scientists who want to be able to use NGS data to evaluate gene expression (RNAseq). Computational researchers that wish to get acquainted with the concepts and methodologies used in RNAseq are also welcome. Participants are encouraged to bring their own data and will have the opportunity to apply the concepts learned in the course. Pre-requisites Familiarity with elementary statistics and a few basics of scripting in R. Please have a look at the following resources and gauge your ability to use R in statitics at the basic level: Introduction to Data Science with R Videos from Coursera's four week course in R Statistics at Square One - BMJ Basic Unix command line skills, such as being able to navigate in a directory tree and copy files. See, for example, "Session 1" of the Software Carpentry training for a Unix introduction (Shell-novice material from the Software Carpentry Foundation). 2017-04-17 07:30:00 UTC 2017-04-17 07:30:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 1000-029 Transcriptomics RNA-Seq [] bicourses@igc.gulbenkian.pt [] [] 20 workshops_and_courses registration_of_interest []
  • Genome assembly and annotation course 3

    23 - 27 October 2017

    Oeiras, Portugal

    Elixir node event
    Genome assembly and annotation course 3 https://tess.elixir-europe.org/events/genome-assembly-and-annotation-course-3 ELIXIR Genome assembly and annotation course 3, Oct 23-27 2017 at the Gulbenkian Institute of Science, Oeiras, Portugal 2017-10-23 09:00:00 UTC 2017-10-27 17:00:00 UTC ELIXIR PT, Instituto Gulbenkian Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande, Oeiras, Portugal Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande Oeiras Portugal Genomics Instituto Gulbenkian de Ciência [] life scientistsResearchersPhD students workshops_and_courses registration_of_interest genomics AssemblyTrainingeLearningEeLP
  • GOBLET/ELIXIR-EXCELERATE Workshop on e-learning

    21 November 2017

    Oeiras, Portugal

    Elixir node event
    GOBLET/ELIXIR-EXCELERATE Workshop on e-learning https://tess.elixir-europe.org/events/goblet-elixir-excelerate-workshop-on-e-learning GOBLET/ELIXIR-EXCELERATE Workshop on e-learning, Nov 21, 2017 at the Gulbenkian Institute of Science, Oeiras, Portugal 2017-11-21 09:00:00 UTC 2017-11-21 17:00:00 UTC Instituto Gulbenkian, ELIXIR Portugal, GOBLET Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande, Oeiras, Portugal Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande Oeiras Portugal Bioinformatics Instituto Gulbenkian de Ciência [] Researchersteachers workshops_and_courses registration_of_interest TeachingeLearningEeLPbioinformatics
  • BioData.pt Business Forum: Advanced data management for added value

    6 May 2019

    Oeiras, Portugal

    Elixir node event
    BioData.pt Business Forum: Advanced data management for added value 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 info@biodata.pt [] 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, 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
  • 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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