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Event types: Workshops and courses 

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Organizer: de.NBI 

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City: Heidelberg  or Fribourg  or Basel  or Amsterdam UMC (location AMC)  or Norwich  or Lund  or Magdeburg 

  • 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 [] []
  • Data Carpentry Workshop 2020

    28 - 30 January 2020

    Heidelberg, Germany

    Data Carpentry Workshop 2020 https://tess.elixir-europe.org/events/educators-toby-hodges-florian-huber-thea-van-rossum-georg-zeller-hd-hub-fotis-e-psomopoulos-date-28-01-2019-30-01-2019-location-atc-computer-training-lab-contents-the-missing-step-between-data-collection-and-research-progress-is-a-lack-of-training-for-researchers-in-crucial-skills-for-effectively-managing-and-analysing-large-amounts-of-data-this-hands-on-workshop-teaches-researchers-the-fundamental-data-skills-they-need-to-conduct-their-work-and-provides-high-quality-domain-specific-training-covering-the-full-lifecycle-of-data-driven-research-the-domain-specific-approach-allows-participants-to-tailor-the-data-content-and-tools-to-reflect-the-specific-data-and-analysis-needs-of-different-areas-data-organisation-and-cleaning-introduction-to-r-data-analysis-and-visualisation-in-r-interacting-with-databases-from-r-data-analysis-with-applications-to-genomics-learning-goals-you-will-learn-how-to-organise-data-and-some-practices-for-more-effective-data-handling-to-effectively-clean-and-format-data-and-automatically-track-any-changes-to-use-r-to-handle-filter-and-summarise-tabular-data-to-use-the-split-apply-combine-concept-for-data-analysis-to-visualise-the-results-of-these-analyses-in-r-using-the-ggplot2-library-to-apply-all-of-the-concepts-in-an-exploratory-analysis-of-a-typical-biological-dataset-prerequisities-the-course-is-aimed-at-graduate-students-and-other-researchers-in-the-life-sciences-who-would-like-to-learn-good-practices-in-data-management-and-analysis-the-course-is-ideally-suited-to-students-without-prior-experience-in-computational-research-but-some-familiarity-with-working-with-tabular-data-on-a-computer-is-welcome-keywords-data-carpentry-r-tools-r Educators: Toby Hodges, Florian Huber, Thea Van Rossum, Georg Zeller, (HD-HuB) Fotis E. Psomopoulos Date: 28/01/2020 - 30/01/2020 Location: ATC Computer Training Lab Contents: The missing step between data collection and research progress is a lack of training for researchers in crucial skills for effectively managing and analysing large amounts of data. This hands on workshop teaches researchers the fundamental data skills they need to conduct their work, and provides high-quality, domain-specific training covering the full lifecycle of data-driven research. The domain-specific approach allows participants to tailor the data, content, and tools to reflect the specific data and analysis needs of different areas: - Data organisation and cleaning - Introduction to R - Data analysis and visualisation in R - Interacting with databases from R - Data analysis with applications to genomics Learning goals: You will learn... - how to organise data and some practices for more effective data handling - to effectively clean and format data and automatically track any changes - to use R to handle, filter, and summarise tabular data - to use the split-apply-combine concept for data analysis - to visualise the results of these analyses in R using the ggplot2 library - to apply all of the concepts in an exploratory analysis of a typical biological dataset Prerequisities: The course is aimed at graduate students and other researchers in the life sciences who would like to learn good practices in data management and analysis. The course is ideally suited to students without prior experience in computational research, but some familiarity with working with tabular data on a computer is welcome. Keywords: Data Carpentry, R Tools: R 2020-01-28 09:00:00 UTC 2020-01-30 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Metagenomic Bioinformatics Analysis

    18 - 19 February 2020

    Heidelberg, Germany

    Metagenomic Bioinformatics Analysis https://tess.elixir-europe.org/events/metagenomic-bioinformatics-analysis Educators: Laura Carroll, Nicolai Karcher, Alessio Milanese, Jakob Wirbel, Georg Zeller (HD-HuB) Date: 18/02/2020 - 19/02/2020 09:00 - 17:00 Location: ATC Computer Training Lab, European Molecular Biology Laboratory (EMBL) Contents: Shotgun metagenomic sequencing approaches are being increasingly employed to characterize the human microbiome. Such complex metagenomics data sets are a rich source for generating functional hypotheses about the roles that gut microbiota play in human health and disease. In this bioinformatics course, participants will be exposed to computational and statistical approaches for the analysis of shotgun metagenomic data. Through a combination of theory-centric lectures and hands-on, practical exercises, the course will cover topics such as taxonomic profiling (i.e., determining “who’s there” in a microbial community), functional analysis (i.e., broadly assessing the functional and metabolic potential of a microbial community, and also mining for specific gene families such as toxins), and comparative metagenomics (i.e., identifying taxa or microbial functions associated with a disease of interest). Learning goals: - Pre-processing and quality control of Illumina metagenomic data - Taxonomic profiling - Exploratory analyses and visualization methods for metagenomic data - Functional metagenomic profiling (using both general purpose databases and targeted approaches) - Comparative analysis of metagenomic data Prerequisites: - Familiarity with the Linux command line interface (e.g., running programs from the command line, creating and moving between directories, accessing a remote host via SSH) - Basic knowledge of the R programming language (e.g., loading data into R, manipulating data frames, creating basic plots) Keywords: Metagenomics 2020-02-18 09:00:00 UTC 2020-02-19 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Introduction to Regular Expressions

    18 March 2020

    Heidelberg, Germany

    Introduction to Regular Expressions https://tess.elixir-europe.org/events/introduction-to-regular-expressions Educators: Supriya Khedkar, Toby Hodges (HD-HuB) Date: 18/03/2020 09:30 - 16:00 Location: EMBL Heidelberg; Room 202 Contents: Do you often work with lots of data files on the computer, are you often trying to spot particular files or lines of text in them that are important for you? If so, then using regular expressions could save you a lot of time and frustration! Regular expressions (regex/REs) are a language designed to describe patterns of characters that you want to match in a body of text. For example, if you want to extract every Ensembl Gene ID in a GFF file, find tandem repeats in a large set of sequences, or extract every email address in a large document, regular expressions are the perfect tool. Regular expressions are incorporated into a wide range of software and programming languages, and the workshop will include examples of their use on the UNIX command line and in R and Python. Learning goals: This workshop will provide an introduction to REs and cover some of the simple but powerful ways that these can be used to find patterns in large volumes of text data. The workshop will be interactive and driven by examples to demonstrate how you might use regular expressions in your work. Prerequisites: Participants are required to bring their own laptop to the workshop, with a text editor suitable for programming (e.g. Atom, Sublime Text, VSCode, Notepad++) installed. Keywords: UNIX command line, R, Python Tools: UNIX command line, R, Python 2020-03-18 09:00:00 UTC 2020-03-18 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Tools for Systems biology modeling and data exchange: COPASI, CellNetAnalyzer, SABIO-RK, FAIRDOMHub/SEEK 2020

    27 - 29 April 2020

    Magdeburg, Germany

    Tools for Systems biology modeling and data exchange: COPASI, CellNetAnalyzer, SABIO-RK, FAIRDOMHub/SEEK 2020 https://tess.elixir-europe.org/events/tools-for-systems-biology-modeling-and-data-exchange-copasi-cellnetanalyzer-sabio-rk-fairdomhub-seek-2020 Educators: Axel von Kamp, Steffen Klamt, Sven Thiele (MPI Magdeburg), Frank T. Bergmann, Ursula Kummer (University of Heidelberg), Wolfgang Müller, Maja Rey, Andreas Weidemann, Ulrike Wittig (HITS) (de.NBI-SysBio) Date: 27. - 29 April 2020 Location: MPI Magdeburg Sandtorstrasse 1 39106 Magdeburg Contents: Key concepts of stoichiometric and kinetic modeling of biochemical networks: - stoichiometric matrix and stoichiometric networks - steady state flux distributions - principles of constraint-based modeling - metabolic flux analysis and flux optimization (flux balance analysis) - metabolic pathway analysis with elementary flux modes - metabolic network design via minimal cut sets - simulation of dynamic (kinetic) models - sensitivity analysis - carrying out parameter estimation tasks - model exchange using SBML Data and model management: - manual/programmatic access to reaction kinetics data from SABIO-RK - storage and exchange of data and models using FAIRDOMHub/SEEK - modeling specific functionalities in FAIRDOMHub/SEEK Learning goals: During this 3-day course, attendees will learn basic techniques for modeling of biochemical networks including data access and storage due to the FAIR principles. The first day introduces kinetic modeling techniques which will be illustrated and exercised with COPASI. The second day continues with principles of stoichiometric and constraint-based modeling coupled with hands on exercises using CellNetAnalyzer. The third day SABIO-RK is used as a resource for kinetic data and FAIRDOMHub/SEEK is introduced as a data and model management platform fitted to the needs of systems biologists. The hands on exercises throughout the three days will ensure that attendees become familiar with the software tools and with analyzing, creating, editing, importing, simulating and storing biochemical networks. Prerequisites: Some knowledge of mathematical modeling will be advantageous. The participants should bring their own laptop with MATLAB installed (if you do not have MATLAB please let us know during registration). Download and preinstallation of COPASI and CellNetAnalyzer is recommended but not mandatory. Keywords: CellNetAnalyzer (CNA), COPASI, SBML, FAIR, modeling, kinetic data access, database, data and model management Tools: CellNetAnalyzer, COPASI, Matlab, SABIO-RK, FAIRDOMHub/SEEK 2020-04-27 09:00:00 UTC 2020-04-29 17:00:00 UTC de.NBI Magdeburg, Magdeburg, Germany Magdeburg Magdeburg Germany [] [] [] workshops_and_courses [] []
  • Computing Skills for Reproducible Research: Software Carpentry Course 2020

    19 - 23 October 2020

    Computing Skills for Reproducible Research: Software Carpentry Course 2020 https://tess.elixir-europe.org/events/computing-skills-for-reproducible-research-software-carpentry-course-2020 Educators: Renato Alves (HD-HuB) Date: 19-10-2020 - 23-10-2020 09:00-18:00 Location: Online 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 2020-10-19 09:00:00 UTC 2020-10-23 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Applied Metaproteomics Workshop 2020

    23 - 27 November 2020

    Magdeburg, Germany

    Applied Metaproteomics Workshop 2020 https://tess.elixir-europe.org/events/applied-metaproteomics-workshop-2020 Educators: Dirk Benndorf, Stephan Fuchs, Robert Heyer, Kay Schallert (BiGi/MetaProtServ) Date: 23.11.2020 – 27.11.2020 Location: Magdeburg, Germany (Universitätsplatz 2, Building 28.205) Contents: Microbiome research is rapidly increasing. Meta-Omics data provide insights into microbial community influencing human health and biochemical cycle. Metaproteomics focusses on proteins representing the expressed genes and functions. In contrast to metagenomics or metatranscriptomics, the extraction and the analysis of proteins from human or environmental samples is challenging. The de.NBI course on Applied Metaproteomics trains the participants to apply a complete workflow starting from design of experiments via sample preparation to measurement and bioinformatics analysis of high-resolution MS data. Maximum 10 participants are strongly encouraged to analyze their own samples to start their own metaproteomics project. The workshop takes place at chair of bioprocess engineering at Otto-von-Guericke University Magdeburg. The team of microbial communities head by Dr. Dirk Benndorf is well experienced in metaproteomics. The samples will be measured on newly purchased timsTOF Pro MS. His group devellopes the MetaProteomAnalyzer service facilitating the analysis of of metaproteomic data. The provision of service is supported by the German Network for Bioinformatics Infrastructure - de.NBI. Monday 09:00-10:00 Arrival 10:00-11:00 Introduction to metaproteomics (lecture: Dirk Benndorf) 11:00-12:00 Design of experiments and sample preparation (lecture: Robert Heyer) 12:00-13:00 Lunch 13:00-18:00 Sample preparation I (protein extraction, protein quantification: Robert Heyer) during the afternoon short presentations of participant´s about their samples (each participant max. 10 min) Tuesday 08:00-11:00 Sample preparation II (FASP digest, SDS-PAGE: Robert Heyer) 11:00-13:00 Introduction to high resolution mass spectrometry (lecture: Dirk Benndorf) 13:00-14:00 Lunch 13:00-14:00 Sample preparation II (peptide extraction: Robert Heyer) 14:00-16:00 Introduction to the MPA 2.0 (lecture: Kay Schallert) non-stop: measurement of participant’s samples I Wednesday non-stop: measurement of participant’s samples I: Dirk Benndorf, Patrick Hellwig 09:00-11:00 MPA 2.0 exercise I (working with a small reference dataset, db searching, metaprotein concept: Kay Schallert, Robert Heyer) 11:00-13:00 MPA 2.0 exercise II (loading user db, BLAST search of unknown hits, quantitative comparison of datasets, visualization and data export: Kay Schallert, Robert Heyer) 13:00-14:00 Lunch 14:00-17:00 Prophane workflow (lecture and training: Stefan Fuchs, external speaker) Thursday 09:00-13:00 MPA 2.0 exercise III (analyzing own data: Kay Schallert, Robert Heyer) 13:00-14:00 Lunch 14:00-17:00 Training at MS (calibration, setup of LC-MS methods, solvent exchange, trouble shooting, Patrick Hellwig) Friday 08:00-10:00 MPA 2.0 exercise IV (visualization of data: Robert Heyer) 10:00-12:00 Individual discussion of results and preparation of presentations (Dirk Benndorf, Robert Heyer, Kay Schallert) 12:00-13:00 Short presentations of participant‘s results and conclusion 13:00 Lunch and departure Learning goals: To apply a complete workflow starting from design of experiments via sample preparation to measurement and bioinformatics analysis of high-resolution MS data. Prerequisites: Fee: 30 € Keywords: Microbiome, MPA, Metaproteomics, MetaProteomeAnalyzer, Tools: MetaproteomeAnalyzer 2020-11-23 09:00:00 UTC 2020-11-27 17:00:00 UTC de.NBI Magdeburg, Magdeburg, Germany Magdeburg Magdeburg Germany [] [] [] workshops_and_courses [] []
  • Applied Metaproteomics Workshop Magdeburg 2021

    22 - 26 November 2021

    Magdeburg, Germany

    Applied Metaproteomics Workshop Magdeburg 2021 https://tess.elixir-europe.org/events/applied-metaproteomics-workshop-magdeburg-2021 Educators: Dirk Benndorf, Stephan Fuchs, Robert Heyer, Kay Schallert (BiGi/MetaProtServ) Date: 22.11.2021 – 26.11.2021 Location: Magdeburg, Germany (Universitätsplatz 2, Building 28.205) Contents: Microbiome research is rapidly increasing. Meta-Omics data provide insights into microbial community influencing human health and biochemical cycle. Metaproteomics focusses on proteins representing the expressed genes and functions. In contrast to metagenomics or metatranscriptomics, the extraction and the analysis of proteins from human or environmental samples is challenging. The de.NBI course on Applied Metaproteomics trains the participants to apply a complete workflow starting from design of experiments via sample preparation to measurement and bioinformatics analysis of high-resolution MS data. Maximum 10 participants are strongly encouraged to analyze their own samples to start their own metaproteomics project. The workshop takes place at chair of bioprocess engineering at Otto-von-Guericke University Magdeburg. The team of microbial communities head by Dr. Dirk Benndorf is well experienced in metaproteomics. The samples will be measured on newly purchased timsTOF Pro MS. His group devellopes the MetaProteomAnalyzer service facilitating the analysis of of metaproteomic data. The provision of service is supported by the German Network for Bioinformatics Infrastructure - de.NBI. Monday 09:00-10:00 Arrival 10:00-11:00 Introduction to metaproteomics (lecture: Dirk Benndorf) 11:00-12:00 Design of experiments and sample preparation (lecture: Robert Heyer) 12:00-13:00 Lunch 13:00-18:00 Sample preparation I (protein extraction, protein quantification: Robert Heyer) during the afternoon short presentations of participant´s about their samples (each participant max. 10 min) Tuesday 08:00-11:00 Sample preparation II (FASP digest, SDS-PAGE: Robert Heyer) 11:00-13:00 Introduction to high resolution mass spectrometry (lecture: Dirk Benndorf) 13:00-14:00 Lunch 13:00-14:00 Sample preparation II (peptide extraction: Robert Heyer) 14:00-16:00 Introduction to the MPA 2.0 (lecture: Kay Schallert) non-stop: measurement of participant’s samples I Wednesday non-stop: measurement of participant’s samples I: Dirk Benndorf, Patrick Hellwig 09:00-11:00 MPA 2.0 exercise I (working with a small reference dataset, db searching, metaprotein concept: Kay Schallert, Robert Heyer) 11:00-13:00 MPA 2.0 exercise II (loading user db, BLAST search of unknown hits, quantitative comparison of datasets, visualization and data export: Kay Schallert, Robert Heyer) 13:00-14:00 Lunch 14:00-17:00 Prophane workflow (lecture and training: Stefan Fuchs, external speaker) Thursday 09:00-13:00 MPA 2.0 exercise III (analyzing own data: Kay Schallert, Robert Heyer) 13:00-14:00 Lunch 14:00-17:00 Training at MS (calibration, setup of LC-MS methods, solvent exchange, trouble shooting, Patrick Hellwig) Friday 08:00-10:00 MPA 2.0 exercise IV (visualization of data: Robert Heyer) 10:00-12:00 Individual discussion of results and preparation of presentations (Dirk Benndorf, Robert Heyer, Kay Schallert) 12:00-13:00 Short presentations of participant‘s results and conclusion 13:00 Lunch and departure Learning goals: To apply a complete workflow starting from design of experiments via sample preparation to measurement and bioinformatics analysis of high-resolution MS data. Prerequisites: Fee: 70 € -> The so-called “3G rule” (the course is only open to those that are vaccinated, recovered, or tested - geimpft, genesen, getestet) will be applied! Keywords: Microbiome, MPA, Metaproteomics, MetaProteomeAnalyzer, Tools: MetaproteomeAnalyzer 2021-11-22 09:00:00 UTC 2021-11-26 17:00:00 UTC de.NBI Magdeburg, Magdeburg, Germany Magdeburg Magdeburg Sachsen-Anhalt Germany [] [] [] workshops_and_courses [] []

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