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  • 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 []
  • PO21 Precision Oncology

    25 - 29 October 2021

    Oeiras, Portugal

    Elixir node event
    PO21 Precision Oncology https://tess.elixir-europe.org/events/po21-precision-oncology Precision Oncology (PO) is already revolutionizing healthcare and will play a dominant role in the future of cancer therapy. PO integrates tumor multi-omic profiles and data that reflect the course of the disease, lifestyle and environment to guide clinical decisions during cancer patient journey such as prevention, diagnosis and treatment. Bioinformatics analyses are essential to identify patients who will benefit from treatment based on their molecular profile, and to tailor chemotherapeutic regimens accordingly. The aim of the course is to present a complete computational pipeline for the analysis and interpretation of Next-Generation Sequencing (NGS) data such as exome sequencing or targeted panels that are commonly used in the clinic. We will address the implementation of large-scale genomic sequencing in clinical practice and the recently developed computational strategies for the analysis of NGS data with a particular emphasis on the interpretation of the results, selection of biomarkers of drug response and afford opportunities to match therapies with the characteristics of the individual patient's tumor. Exercises and case studies focused on cancer will be used to illustrate the principles of how genetics influence led to refining diagnoses and personalized treatment of cancer disease. Although focused on cancer, some of the principles and steps could be extrapolated to other complex diseases. 2021-10-25 09:30:00 UTC 2021-10-29 18:30:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Oeiras Portugal 2780-156 Oncology IGC - Instituto Gulbenkian de Ciência Pedro L Fernandes, Training Coordinator, pfern@igc.gubenkian.pt Oeiras Valley healthcare professionals Bioinformaticians 14 workshops_and_courses [] Clinical oncologyVariant callingDrug Targetting
  • AM21 Applied Metagenomics

    2 - 5 November 2021

    Oeiras, Portugal

    Elixir node event
    AM21 Applied Metagenomics https://tess.elixir-europe.org/events/am21-applied-metagenomics This course will give a comprehensive introduction to the research field of metagenomics. It will cover the basic concepts of microbiome analysis of shotgun metagenomic data using state of the art bioinformatics (amplicon sequencing will not be covered). The analysis methods that are being introduced are generic for all types of microbiomes, but we will be using data from the human microbiome as showcases. The course will start with the main preprocessing steps of raw sequence data, before various downstream analysis will be covered separately. These include taxonomic analysis, assembly, binning, and finally functional analysis with focus on antibiotic resistance genes. The theoretical part for each topic will be introduced via lectures, followed by practical hands-on exercises. 2021-11-02 09:30:00 UTC 2021-11-05 18:00:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Oeiras Portugal 2780-156 Metagenomic sequencing Metagenomics IGC - Instituto Gulbenkian de Ciência Pedro L. Fernandes, Training Coordinator, pfern@igc.gulbenkian.pt Oeiras Valley bioinformaticiansMicrobiologistsDrug resistance 10 [] [] Metagenomics
  • PSLS21 - Practical Statistics for the Life Sciences 2021

    8 - 12 November 2021

    Oeiras, Portugal

    Elixir node event
    PSLS21 - Practical Statistics for the Life Sciences 2021 https://tess.elixir-europe.org/events/psls21 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. 2021-11-08 09:30:00 UTC 2021-11-12 18:30:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal Portugal 2780-156 Statistics and probability IGC - Instituto Gulbenkian de Ciência pfern@igc.gulbenkian.pt [] [] 17 workshops_and_courses registration_of_interest []
  • Machine Learning

    15 - 17 November 2021

    Oeiras, Portugal

    Elixir node event
    Machine Learning https://tess.elixir-europe.org/events/machine-learning With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially in recent times and a major issue is to mine useful knowledge from these data which are also heterogeneous in nature. Machine learning (ML) is a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics. This 3 day course will introduce participants to the machine learning taxonomy and the applications of common machine learning algorithms to omics data. The course will cover the common methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R libraries. The course will comprise a number of hands-on exercises and challenges where the participants will acquire a first understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets. Instructors: Vandrille Duchemin, University of Basel, CH Crhistian Cardona, University of Tuebingen, DE 2021-11-15 09:30:00 UTC 2021-11-17 18:00:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 2780-156 Machine learning Instituto Gulbenkian de Ciência pfern@igc-gulbenkian.pt To register your interest, please send an e-mail to bicourses@igc.gulbenkian.pt with "Machine Learning" in the subject line UNTIL November 11th 2021, stating the reason why you would be interested in attending this course in a single paragraph. ELIXIR PhD Studentspost-docsScientistsstudents 17 workshops_and_courses registration_of_interest Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression
  • IBIP21 Integrative Biological Interpretation using Proteomics

    22 - 26 November 2021

    Oeiras, Portugal

    IBIP21 Integrative Biological Interpretation using Proteomics https://tess.elixir-europe.org/events/ibip21-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. 2021-11-22 09:30:00 UTC 2021-11-26 18:30:00 UTC Pedro Fernandes R. Q.ta Grande 6, 6, Rua Quinta Grande, Oeiras, Portugal R. Q.ta Grande 6, 6, Rua Quinta Grande Oeiras Portugal 2780-156 Instituto Gulbenkian de Ciência The Gulbenkian Training Programme in Bioinformatics Pedro L. Fernandes, Organiser Instituto Gulbenkian de Ciência Rua da Quinta Grande, 6 2780-156 OEIRAS Portugal Oeiras Valley ResearchersBiologists, Genomicists, Computer Scientistsbioinformaticians 20 [] registration_of_interest ProteomicsIntegrativeGenomicsMass Spectroscopy

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