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  • Final OpenRiskNet Workshop

    23 - 24 October 2019

    Amsterdam, Netherlands

    Final OpenRiskNet Workshop https://tess.elixir-europe.org/events/final-openrisknet-workshop The workshop is addressing all OpenRiskNet stakeholders (scientific, industrial and regulatory communities) that are invited to participate in this interactive event. This will ensure that all relevant and target groups that need to be aware of the project achievements have access to this information and are enabled to give feedback, and also be trained on the provided solutions. 2019-10-23 09:00:00 UTC 2019-10-24 17:00:00 UTC OpenRiskNet O|2 Human Life Sciences building, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands, Amsterdam, Netherlands O|2 Human Life Sciences building, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands Amsterdam Netherlands 1081 Vrije Universiteit Amsterdam [] [] workshops_and_courses [] e-infrastructuresrisk assessment
  • 3rd Tool-Training for Proteomics

    28 October 2019

    Bochum, Germany

    3rd Tool-Training for Proteomics https://tess.elixir-europe.org/events/3rd-tool-training-for-proteomics Educators: Michael Kohl, Treesa Sunny, Michael Turewicz and Julian Uszkoreit (BioInfra.Prot) Date: Monday, 2019-10-28 Location: Ruhr University Bochum, 44801 Bochum Contents: In this one day course we will show some of BioInfra.Prot's tools provided by de.NBI, namely “PIA - Protein Inference Algorithms”, “BIONDA – A Free Biomarker Database” and “CalibraCurve”. Besides the tool based sessions we offer a "Proteomics in the Cloud" session where we show advantages of cloud based bioinformatics and give a tutorial how to access the de.NBI cloud. PIA allows to inspect and combine the results of proteomics search engines. The main focus lays on the integrated inference algorithms for identification and quantification purposes. BIONDA is a free, up-to-date and user-friendly biomarker and biomarker candidate database that facilitates any kind of research on protein biomarkers and the corresponding diseases. CalibraCurve is a tool intended for the generation of calibration curves in the context of MRM (targeted proteomics) experiments. Such calibration curves are necessary for the selection of suitable transitions. Learning goals: Attendees of the course will learn how to use the tools PIA, BIONDA and CalibraCurve effectively for their daily proteomics tasks. Additionally they will learn how to use the de.NBI cloud. Prerequisites: This course is for all researches in the field of proteomics. The attendees should have basic knowledge of LC-MS proteomics, but no prior bioinformatics skills are required. Basic knowledge of how to analyse LC-MS data are sufficient. Attendees are required to bring their own laptops. If this is not possible or laptops have very low computing capacities, please contact the organizers. Keywords: Proteomics; Data Analysis; Biomarkers; de.NBI Cloud Tools: PIA; BIONDA; CalibraCurve 2019-10-28 09:00:00 UTC 2019-10-28 17:00:00 UTC de.NBI Bochum, Bochum, Germany Bochum Bochum Arnsberg Germany [] [] [] workshops_and_courses [] []
  • 4th Differential analysis of quantitative proteomics data using R

    18 November 2019

    Bochum, Germany

    4th Differential analysis of quantitative proteomics data using R https://tess.elixir-europe.org/events/4th-differential-analysis-of-quantitative-proteomics-data-using-r Educators: Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot) Date: Monday, 18th Nov 2019 Location: Ruhr University Bochum, 44801 Bochum Contents: This course will impart knowledge about how to conduct a differential analysis of high-throughput quantitative proteomics data using R. As we start with a basic introduction to the popular statistical programming language, no prior knowledge on R is required. The statistical background on utilized methods is explained in order to enable the participants to assess their own as well as published workflows critically. In this regard the course will touch upon • statistical inference: hypotheses, type I and II error • location tests (t-test and ANOVA) • multiple testing Learning goals: • Independent usage of basic R functions including • data import and export • basic plots • statistical tests • Deeper understanding of statistical methods applied in differential analyses Prerequisites: • Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences; • No prior knowledge on R required • Please bring your own laptop for the hands-on exercises! Keywords: R; high-throughput data; omics; proteomics; differential analysis Tools: download and more information on R here: https://cran.r-project.org/ We recommend using an editor such as RStudio, see www.rstudio.com 2019-11-18 09:00:00 UTC 2019-11-18 17:00:00 UTC de.NBI Bochum, Bochum, Germany Bochum Bochum Arnsberg Germany [] [] [] [] [] []
  • Advanced analysis of quantitative proteomics data using R

    19 November 2019

    Bochum, Germany

    Advanced analysis of quantitative proteomics data using R https://tess.elixir-europe.org/events/advanced-analysis-of-quantitative-proteomics-data-using-r Educators: Michael Turewicz (bioinformatician) and Karin Schork (biostatistician) (BioInfra.Prot) Date: Tuesday, 19th Nov 2019 Location: Ruhr University Bochum, 44801 Bochum Contents: In this course you will learn about using R for the analysis of proteomics data. We will focus on data preprocessing methods and advanced methods for data analysis. In this regard the cpurse will touch upon: • data normalization • quality control, handling of missing values • clustering, heatmaps • ROC-curves Please be aware that basic knowledge of R and methods for differential analysis of proteomics data are taught in our course “Differential analysis of quantitative proteomics data” the previous day (Monday, 18th Nov 2019, http://goo.gl/forms/mpKHnbT1Um) Learning goals: • Independent usage of R functions for • Data preprocessing • Plots and graphs • Statistical methods for data analysis • Use of additional R packages • Deeper understanding of statistical methods applied in differential analyses Prerequisites: • Basic understanding of high-dimensional data sets from quantitative proteomics or other life sciences; • Basic knowledge of R (e.g. data import, basic plots, t-test, for loop) and basic knowledge of differential analysis of proteomics data. Both can for example be gained from our course “Differential analysis of quantitative proteomics data” the previous day (Monday, 18th Nov 2019, http://goo.gl/forms/mpKHnbT1Um). • Please bring your own laptop for the hands-on exercises! Keywords: R; high-throughput data; omics; proteomics; data analysis, graphics, data preprocessing Tools: download and more information on R here: https://cran.r-project.org/ We recommend using an editor such as RStudio, see www.rstudio.com 2019-11-19 09:00:00 UTC 2019-11-19 17:00:00 UTC de.NBI Bochum, Bochum, Germany Bochum Bochum Arnsberg Germany [] [] [] workshops_and_courses [] []
  • NBIS/SciLifeLab course: Introduction to Bioinformatics using NGS data

    25 - 30 November 2019

    Lund, Sweden

    Elixir node event
    NBIS/SciLifeLab course: Introduction to Bioinformatics using NGS data https://tess.elixir-europe.org/events/nbis-scilifelab-course-introduction-to-bioinformatics-using-ngs-data More information will follow: https://www.scilifelab.se/education/courses%26training questions? mail education@nbis.se 2019-11-25 09:00:00 UTC 2019-11-30 00:00:00 UTC Lund, Sweden Lund Sweden [] jessica.lindvall@scilifelab.se [] [] [] [] []
  • Introduction to Bioinformatics using NGS data, Lund

    25 - 29 November 2019

    Lund, Sweden

    Elixir node event
    Introduction to Bioinformatics using NGS data, Lund https://tess.elixir-europe.org/events/introduction-to-bioinformatics-using-ngs-data-lund #training #url: https://www.scilifelab.se/events/introduction-to-bioinformatics-using-ngs-data-lund/ More information will follow: https://www.scilifelab.se/education/courses%26training questions? mail education@nbis.se 2019-11-25 09:00:00 UTC 2019-11-29 00:00:00 UTC Lund, Sweden Lund Sweden [] jessica.lindvall@scilifelab.se [] [] workshops_and_courses [] #trainingtraining
  • NBIS course: RNAseq

    26 - 29 November 2019

    Lund, Sweden

    Elixir node event
    NBIS course: RNAseq https://tess.elixir-europe.org/events/nbis-course-rnaseq More information will follow: https://www.scilifelab.se/education/courses%26training questions? mail education@nbis.se 2019-11-26 09:00:00 UTC 2019-11-29 00:00:00 UTC Lund, Sweden Lund Sweden [] jessica.lindvall@scilifelab.se [] [] [] [] []
  • RNA-Seq

    26 - 28 November 2019

    Lund, Sweden

    Elixir node event
    RNA-Seq https://tess.elixir-europe.org/events/rna-seq-eeffa88f-ba9a-4512-a44d-e29b6be6394f #training #url: https://www.scilifelab.se/events/rna-seq-3/ More information will follow: https://www.scilifelab.se/education/courses%26training questions? mail education@nbis.se 2019-11-26 09:00:00 UTC 2019-11-28 00:00:00 UTC Lund, Sweden Lund Sweden [] jessica.lindvall@scilifelab.se [] [] workshops_and_courses [] #trainingtraining
  • 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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