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  • 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 [] []
  • Norwich Single-Cell Symposium 2019

    16 - 17 October 2019

    Norwich, United Kingdom

    Norwich Single-Cell Symposium 2019 https://tess.elixir-europe.org/events/norwich-single-cell-symposium-2019 Now in its third year, the Symposium covers single-cell genomics technologies and their application in microbial, plant, animal and human health and disease. The symposium offers a forum for researchers to discuss the latest developments in single-cell genomics, and network with other researchers with the intention of catalysing future development and application of single-cell genomics across the UK. Topics to be covered include: Single cell genomics in plant and microbial research Single cell genomics in health, disease and development Single cell informatics Single cell technology development 2019-10-16 10:00:00 UTC 2019-10-17 17:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ Earlham Institute training@earlham.ac.uk 10x GenomicsBlacktraceCelseeNew England BiolabsTakara Bio EuropeTTP Laptech Single Cell researchers meetings_and_conferences [] Single Cell GenomicsSingle Cell technologiesSingle Cell Sequencing
  • 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 [] []
  • 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
  • de.NBI & ELIXIR - Train the Trainer Workshop to Learn Teaching Techniques

    11 - 12 November 2019

    Heidelberg, Germany

    de.NBI & ELIXIR - Train the Trainer Workshop to Learn Teaching Techniques https://tess.elixir-europe.org/events/de-nbi-elixir-train-the-trainer-workshop-to-learn-teaching-techniques de.NBI & ELIXIR - Train the Trainer Workshop to Learn Teaching Techniques Heidelberg Educators: Malvika Sharan, Toby Hodges (HD-HuB), Elisabeth Zielonka Date: 11-11-2019 - 12-11-2019 09:30-17:00 Location: EMBL Heidelberg Room 202 Contents: The course is aimed at everyone who is interested in becoming a better teacher. The workshop is a mix of lectures and hands-on lessons where you practise giving a short lesson using approaches learned and implement some of the teaching techniques which we will discuss. This is training for teaching, not technical training; you do not need any particular technical background, and we will not be teaching that. This workshop is based on the constantly revised and updated curriculum. We will offer two parallel tracks (The Carpentries Track and ELIXIR Track), and you will be asked to choose one track that you would like to attend during this event. The Carpentries Track to become Software Carpentry, Data Carpentry and Library Carpentry instructors, run workshops and contribute to the Carpentry training materials. ELIXIR Track is a non-programming module which will prepare you to organise or teach at the bioinformatics or wet-biology workshops. The Carpentries Track This module is aimed at those who want to become Software Carpentry and Data Carpentry instructors, run workshops and contribute to the Carpentry training materials. You don't currently have to be an instructor or a teacher to attend this workshop, but you do need to be willing and committed to becoming one and to improving your teaching techniques. Software Carpentry and Data Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on two-day workshop covers the basics of educational psychology and instructional design and looks at how to use these ideas in both intensive workshops and regular classes. Please note that after this course is over, you will be asked to do three short follow-up exercises online in order to finish qualifying as an instructor: the details are available athttps://carpentries.github.io/instructor-training/checkout/. If you have any questions about the workshop, the reading material, or anything else, please get in touch. ELIXIR (non-programming) Track ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. It coordinates, integrates and sustains bioinformatics resources across its member states and enables users in academia and industry to access services that are vital for their research. In this module the trainer will deliver the ELIXIR curriculum aimed at the instructors interested in teaching workshops on the topics related to bioinformatics or wet-biology. 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: When possible, participants should bring a laptop that can be connected to the Internet to follow teaching materials and developing a shared note. A device for recording audio and video (mobile phones and laptops are OK) will also be useful as throughout the two days, we are going to record one another teaching in pairs or threes. It does not have to be high-quality, but it should be good enough that you can understand what someone is saying. All participants are required to abide by The Carpentries' Code of Conduct. Keywords: Train the Trainer, 2019-11-11 09:00:00 UTC 2019-11-12 17:00:00 UTC de.NBI / ELIXIR Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe 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 [] []
  • Constraint-based modelling: introduction and advanced topics

    25 - 29 November 2019

    Leiden University, Netherlands

    Elixir node event
    Constraint-based modelling: introduction and advanced topics https://tess.elixir-europe.org/events/constraint-based-modelling-introduction-and-advanced-topics Constraint-based modeling is a powerful modeling methodology that is being used to model a diverse range of biological phenomena. These include both fundamental and applied questions relevant to biotechnology, microbiology and medicine. Central to constraint-based modeling is the use of… The post Constraint-based modelling: introduction and advanced topics appeared first on Dutch Techcentre for Life Sciences. 2019-11-25 09:00:00 UTC 2019-11-29 00:00:00 UTC Leiden University, Leiden, the Netherlands, Leiden University, Netherlands Leiden University, Leiden, the Netherlands Leiden University Netherlands [] [] [] workshops_and_courses [] []
  • Software Carpentry

    21 - 22 January 2020

    Norwich, United Kingdom

    Software Carpentry https://tess.elixir-europe.org/events/software-carpentry-e28d91b4-59e7-47d7-a7f0-54b3d09e0172 Our goal is to help scientists become more productive by teaching them basic computing skills like program design, version control, testing and task automation. In this two-day bootcamp, short tutorials will alternate with hands-on practical exercises. Participants will be encouraged both to help one another, and to apply what they have learned to their own research problems during and between sessions. 2020-01-21 09:00:00 UTC 2020-01-22 17:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ Earlham Institute training@earlham.ac.uk [] PhD studentspost-docspostgrad workshops_and_courses first_come_first_served SoftwareCarpentrypythonUnix Shell
  • Data Carpentry

    3 - 4 March 2020

    Norwich, United Kingdom

    Data Carpentry https://tess.elixir-europe.org/events/data-carpentry-6bde217e-337f-4bea-96f7-e419c62f5fe9 Data Carpentry workshops are for any researcher who has data they want to analyse, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. 2020-03-03 09:00:00 UTC 2020-03-04 17:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ Earlham Institute training@earlham.ac.uk [] post-docsPhD studentspostgrad workshops_and_courses first_come_first_served Data carpentryCommand lineData analysis
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