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  • Metabolomics: Understanding Metabolism in the 21st Century

    23 September - 18 October 2019

    Edgbaston, United Kingdom

    Elixir node event
    Metabolomics: Understanding Metabolism in the 21st Century https://tess.elixir-europe.org/events/metabolomics-understanding-metabolism-in-the-21st-century-8c9cebe4-268d-4e19-9073-3a9d99e51df5 This online course explores metabolomics, an emerging field that aims to measure the complement of metabolites (the metabolome) in living organisms. The metabolome represents the downstream effect of an organism's... 2019-09-23 09:00:00 UTC 2019-10-18 23:59:00 UTC Online, Edgbaston, United Kingdom Online Edgbaston United Kingdom B15 2TT [] [] [] [] [] []
  • Software Carpentry Workshop

    16 - 18 October 2019

    Heidelberg, Germany

    Software Carpentry Workshop https://tess.elixir-europe.org/events/software-carpentry-workshop-ab3af408-aa91-49ed-bab2-5db1f2e6d15d Educators: Malvika Sharan, Georg Zeller, Mike Smith, Thomas Schwarzl, Frank Thommen (HD-HuB), Holger Dinkel Date: 16-10-2019 - 18-10-2019 09:00-18:00 Location: ATC Computer Training Lab, EMBL Heidelberg Contents: Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing. Topics covered include: Introduction to Python scripting Introduction to the Unix shell and usage of cluster resources Version control with Git and Github Analysis pipeline management Scientific Python & working with biological data Literate programming with Jupyter notebooks Learning goals: This course aims to teach software writing skills and best practices to researchers in biology who wish to analyse data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their science better and more reproducible. Prerequisites: This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will be familiar with some command line/programmatic computer usage, will want to become more confident using these tools efficiently and reproducibly. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable using git). Keywords: Programming; Command Line; Version Control; Bioinformatics; Data Analysis; Cluster Computing Tools: Python; Bash; Unix/Linux; Git; GitHub; SnakeMake; Biopython; Pandas; Numpy; SciPy; Matplotlib 2019-10-16 09:00:00 UTC 2019-10-18 17:00:00 UTC de.NBI / ELIXIR Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • 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
  • Machine Learning in R

    6 - 7 November 2019

    Heidelberg, Germany

    Machine Learning in R https://tess.elixir-europe.org/events/machine-learning-in-r Date Nov 6 - Nov 7 2019 Location EMBL Heidelberg Tutors and helpers - Dr. Malvika Sharan - Prof Bernd Bischl - Martin Binder - Giuseppe Casalicchio Affiliation: Ludwig-Maximilians-University Munich Course Information This two-day course, on the implementation of Machine Learning in R, using mlr package will be delivered as practical sessions on programming and data analysis. The main goal of mlr is to provide a unified interface for machine learning tasks as classification, regression, cluster analysis and survival analysis in R. Sessions will be driven by many practical exercises and case studies. Before this workshop, participants are expected to review the official material introducing the principle of Machine Learning (see the prerequisite). Course Content This 2-day course will cover hands-on sessions using `mlr` and other relevant packages. Daily schedule - 09:30-12:30 3h morning, 90 min Theory + 90 min Practical - 12:30-13:30 1h Lunchbreak - 13:30-16:30 3h afternoon, 90 min Theory + 90 min Practical - 16:30-17:00 Time for general questions Day 1 Introduction to the concepts and Practical with mlr - Performance Evaluation and Resampling (Metrics, CV, ROC) - Introduction to Boosting Day 2 Introduction to the concepts and Practical with mlr - Tuning and Nested Cross-Validation - Regularization and Feature Selection Prerequisite The course is aimed at advanced R programmers, preferably with some knowledge of statistics and data modeling (See prerequisite materials from Day-1, 2, & 4). In this course, our learners will learn more about machine learning and its application and implementation through the hands-on sessions and use cases. Optional: Discussion-Based Session On The Principle of Machine Learning Anna Kreshuk (EMBL Group Leader) will lead a one-day discussion-based session on 14 October 2019 to address your questions on the prerequisite materials on the principle of Machine Learning. This will also allow you to connect with other participants of this workshop informally, and discuss the materials in smaller groups. Please register for this workshop separately: https://bio-it.embl.de/events/machine-learning-discussion-workshop-2019/. Registration Please register on this page: https://bio-it.embl.de/events/machine-learning-in-r-2019/ Please note that the maximum capacity of this course is 40 participants and registration is required to secure a place. If you have any questions, please contact Malvika Sharan. In your registration, please mention your EMBL group name, or institute's name (e.g. DKFZ, Uni-HD) if you are registering as an external participant. Costs 60,00 EUR Keywords: Machine Learning, R 2019-11-06 09:00:00 UTC 2019-11-07 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Nanopore day, Heidelberg

    7 November 2019

    Heidelberg, Germany

    Elixir node event
    Nanopore day, Heidelberg https://tess.elixir-europe.org/events/nanopore-day-heidelberg Hear about the latest tech updates for Oxford Nanopore as well as hearing from local users about their latest work using nanopore technology. There is no delegate fee for this event. Your place at this event will be confirmed via email from events@nanoporetech.com. Completion of this form does not constitute confirmation. Spaces are limited and will be allocated on a first-come, first-served basis. 2019-11-07 09:00:00 UTC 2019-11-07 17:00:00 UTC Oxford Nanopore Technology EMBL Heidelberg, 1, Meyerhofstraße, Heidelberg, Germany EMBL Heidelberg, 1, Meyerhofstraße Heidelberg Karlsruhe Germany [] [] [] meetings_and_conferences first_come_first_served Long read sequencing
  • CABANA Workshop: Analysis of Crop Genomics Data

    2 - 6 December 2019

    Bogota, Colombia

    Elixir node event
    CABANA Workshop: Analysis of Crop Genomics Data https://tess.elixir-europe.org/events/cabana-workshop-analysis-of-crop-genomics-data This course will introduce crop biologists to methods and approaches for analysing crop genomics data. 2019-12-02 08:30:00 UTC 2019-12-06 12:45:00 UTC Universidad de los Andes - UniAndes, Bogota, Colombia Universidad de los Andes - UniAndes Bogota Colombia 111711 [] Marco Cristancho [] [] [] [] HDRUK
  • A tour of machine learning: classification

    13 - 14 January 2020

    Gent, Belgium

    Elixir node event
    A tour of machine learning: classification https://tess.elixir-europe.org/events/a-tour-of-machine-learning-classification-b217275f-0a31-4994-b5c6-be3d999cc9f7 Machine learning has become ubiquitous in biotechnology (as in many other fields), fueled largely by the increasing availability and amount of data. Learning algorithms can figure out how to perform important tasks by generalizing examples. Typical applications are diagnoses/prognoses, gene/protein annotation, drug design, image recognition, text mining and many others. However, building successful machine learning models requires a substantial amount of “black art” that is hard to find in textbooks. This course is an interactive Jupyter Notebook (Python) that will teach you how to build successful machine learning models. No background in machine learning is assumed, just a keen interest. 2020-01-13 09:00:00 UTC 2020-01-14 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • Hands-On introduction to NGS variant analysis

    20 - 21 January 2020

    Gent, Belgium

    Elixir node event
    Hands-On introduction to NGS variant analysis https://tess.elixir-europe.org/events/hands-on-introduction-to-ngs-variant-analysis-9abd671c-4d42-4124-b084-9f2453cc9799 Using a full publicly available chromosome read-set from one of the 1000 genome samples: ​Perform a complete analysis workflow including QC, read mapping, read coverage analysis, and variant calling against the human reference genome. Use GenePattern and open source software to evaluate each step of a classical NGS variant workflow and feel the complexity of the task. Quickly compare the obtained results with gold standard public data The skills acquired during this session should allow participants understand what variant calling implies. Participants with experience in command line can do the workflow using command line tools. 2020-01-20 09:00:00 UTC 2020-01-21 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • Mass spectrometry data processing

    2 - 3 June 2020

    Gent, Belgium

    Elixir node event
    Mass spectrometry data processing https://tess.elixir-europe.org/events/mass-spectrometry-data-processing-f80a1c34-fcd4-40bf-83df-1ba4b05dd38e Obtain a good understanding of the origins and properties of mass spec data Obtain an understanding of the processing of mass spec data, aimed at identifying and quantifying peptides and proteins Gain sufficient understanding of the software tools and database used, and of the issues and caveats involved, to critically analyse and assess results from mass spectrometry based proteomics experiments 2020-06-02 09:00:00 UTC 2020-06-03 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
  • Using MOFA for integration of omics data

    15 June 2020

    Gent, Belgium

    Elixir node event
    Using MOFA for integration of omics data https://tess.elixir-europe.org/events/using-mofa-for-integration-of-omics-data-f849603e-3ab6-453b-b6d4-6d22f3666d6e Participants can bring their own data to the course. What kind of preprocessing of the data is required for MOFA? How to train MOFA on a multi-omic data set? How to interpret the MOFA factors by their loadings, using gene set enrichment or sample ordination? How to use MOFA for downstream analyses including regression, classification or clustering? How to impute missing values with MOFA? How to select the number of factors and compare different MOFA fits? 2020-06-15 09:00:00 UTC 2020-06-15 00:00:00 UTC VIB Bioinformatics Core iGent, Gent, Belgium iGent Gent Belgium 9052 [] [] [] [] [] []
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