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  • Data Carpentry Workshop 2016

    18 - 19 October 2016

    Norwich, United Kingdom

    Data Carpentry Workshop 2016 https://tess.elixir-europe.org/events/data-carpentry-workshop Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. 2016-10-18 08:30:00 UTC 2016-10-19 17:30:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom Bioinformatics Earlham Institute training@earlham.ac.uk [] Researchers workshops_and_courses first_come_first_served Data carpentry
  • Single-Cell RNAseq

    3 - 7 December 2018

    Norwich, United Kingdom

    Single-Cell RNAseq https://tess.elixir-europe.org/events/single-cell-rnaseq-workshop The course provides an introduction to Single Cell Genomics. It covers several aspects such as the experimental design, cell sorting and processing for production of quality samples for sequencing, generation of sequencing data, assessing the quality of sequence data, data visualisation, differential expression analyses and identifying Copy Number Variants at the single cell level. 2018-12-03 09:00:00 UTC 2018-12-07 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 Cell biology RNA-Seq [] training@earlham.ac.uk [] PhD studentspost-docsWet-lab Researchers workshops_and_courses [] []
  • CyVerse UK RNASeq Workshop

    10 - 12 December 2018

    Norwich, United Kingdom

    CyVerse UK RNASeq Workshop https://tess.elixir-europe.org/events/cyverse-uk-rnaseq-workshop This meeting is focused on researchers who are either at the beginning of their studies or have moved onto a new subject area and will be analysing RNAseq expression data as part of their studies. This workshop is designed for non-bioinformatic experts and will be run at a level appropriate for wet-lab researchers without previous bioinformatics experience. We will provide hands-on sessions that will describe the use of software tools that can interrogate RNAseq data and the biological relevance of these tools. The workshop will also demonstrate different ways to visualise RNAseq data. Prior to the workshop we will provide an example dataset that will be analysed as part of the workshop. This hands-on training will be useful for the analysis of delegates’ own data. In addition we include a session on Open Data and data reuse strategies that can benefit your research. We are also offering a optional one-day Genomics Data Carpentry (Monday December 10) for researchers who have limited or no previous command-line experience. This optional section will introduce you to analysing data in R, and better prepare you for future analyses. The cost of this additional session is £20 to cover food, refreshments and administration. 2018-12-10 09:00:00 UTC 2018-12-12 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 RNA-Seq [] training@earlham.ac.uk [] PhD Studentspost-docs workshops_and_courses first_come_first_served []
  • 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 [] []
  • 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 [] []
  • 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 [] []
  • 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 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 [] []
  • Single-Cell RNAseq Training Course 2020 - POSTPONED

    20 - 25 April 2020

    Norwich, United Kingdom

    Single-Cell RNAseq Training Course 2020 - POSTPONED https://tess.elixir-europe.org/events/single-cell-rnaseq-training-course-2020-1444ff72-59f8-4c26-bc86-813bc4ee8efd The course will provide an introduction to Single-Cell Genomics for bench-based researchers with no required prior experience of computational data analysis. It covers several aspects such as the experimental design, cell sorting and processing for production of high-quality samples for sequencing, generation of sequencing data, assessing the quality of sequence data, data visualisation, differential expression analyses and identifying Copy Number Variations at the single-cell level. Options when applying are: Single-Cell RNAseq Course (Mon-Fri: lab and bioinformatics @800) Single-Cell RNAseq Bioinformatics only (Weds-Fri @£300) 2020-04-20 09:00:00 UTC 2020-04-25 00:00:00 UTC Earlham Institute Earlham Institute (EI), Colney Lane, Norwich, United Kingdom Earlham Institute (EI), Colney Lane Norwich Norfolk United Kingdom NR4 7UZ [] training @ earlham . ac . uk [] PhD studentspost-docsBench biologists workshops_and_courses registration_of_interest []
  • 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 [] []

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