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Event types: Workshops and courses 

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Organizer: de.NBI 

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  • Introduction to genome-wide association studies (GWAS) 2019

    18 September 2019

    Kiel, Germany

    Introduction to genome-wide association studies (GWAS) 2019 https://tess.elixir-europe.org/events/introduction-to-genome-wide-association-studies-gwas-2019 Educators: David Ellinghaus (Associated partner - CAU) Date: September 18, 2019 Time: 08:30 - 16:30 Location: Kiel, Am Botanischen Garten 1-9, Room E49 This course is designed for 15 participants. If we receive (a lot) more applications, we will choose participants based on the relevance of their application and/or a first-come-first-serve basis. Contents: Over the past decade, genetic epidemiology studies have progressed from studying single genetic variants in candidate genes to investigating millions of common genetic variants in genome-wide association studies (GWAS). Nowadays GWAS studies are moving forward to genome-wide rare variant association studies, gene-gene (GxG) and gene-environment (GxE) interaction studies as well as cross-phenotype studies including several 10k and sometimes even >100k genetic samples. Learning goals: In this one day course we will give guidance for planning of SNP array genotyping and will provide best-practices for large-scale quality control, variant annotation and association analysis of GWAS data. In the practical part of the course will work on real-world data sets and show how to automatically and manually analyze large case-control sample sets and how to annotate phenotype-associated genomic regions. Prerequisites: None Keywords: genome-wide association studies (GWAS); SNP genotype quality control; association testing 2019-09-18 08:00:00 UTC 2019-09-18 17:00:00 UTC de.NBI Kiel, Kiel, Germany Kiel Kiel Germany [] [] [] workshops_and_courses [] []
  • Eukaryote genome annotation workshop 2019

    19 September 2019

    Kiel, Germany

    Eukaryote genome annotation workshop 2019 https://tess.elixir-europe.org/events/eukaryote-genome-annotation-workshop-2019 Educators: Marc Höppner (Associated partner - CAU) Date: September 19, 2019 - 08:30 - 16:30 Location: Kiel, Am Botanischen Garten 1-9, Room E49 Contents: The constant drop in sequencing prices and the development of easy-to-use assembly programs makes it possible, even for small groups, to embark on a de novo genome project to obtain the full sequence of their species of interest. However, automatically annotating all genetic features in a eukaryotic genome, especially in non-model species with few or no sequenced closely related species, remains a challenge and standard pipelines still do not exist. Learning goals: In this one day course participants will learn about these challenges and the current strategies that can be used to try to obtain the most complete set of genes from a de novo assembled eukaryotic genome. We will also discuss how additional data, such as RNA-seq, assembled transcriptomes or proteomic data, can be used to improve the annotation, which can inform decisions on how best to spend the budget during a genome project. The practical part of the course will explain how to automatically and manually annotate a genomic region and how that information can be immediately translated into biologically relevant data for the species of interest. Prerequisites: None Keywords: eukaryotic genome, annotation, RNAseq proteomic data, assembly Contact: Marc Höppner, m.hoeppner@ikmb.uni-kiel.de This course is designed for 15 participants. If we receive (a lot) more applications, we will choose participants based on the relevance of their application and/or a first-come-first-serve basis. 2019-09-19 09:00:00 UTC 2019-09-19 17:00:00 UTC de.NBI Kiel, Kiel, Germany Kiel Kiel 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 [] []
  • 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 [] []
  • Phylogenetic reconstruction course 2020

    20 May 2020

    Kiel, Germany

    Phylogenetic reconstruction course 2020 https://tess.elixir-europe.org/events/phylogenetic-reconstruction-course-2020 Educators: Tal Dagan (CAU) Date: 20.05.2019, 08:15 - 16:00 Location: Kiel Contents/Learning goals: The evolutionary history of genes or species is best studied and described by phylogenetic trees. The accumulating sequence data enable the reconstruction of phylogenetic trees for many diverse gene and species. A robust phylogeny is helpful in identifying phyletic groups as well as ancestral relations in the data and lateral gene transfer. Notwithstanding phylogenetic reconstruction is sensitive to various biases in the analysis that originate in alignment and phylogenetic reconstruction artifacts. Students in the workshop will learn to reconstruct multiple sequence alignment and phylogenetic trees of focal sequences. This includes a quantification of possible biases in the phylogenetic reconstruction and ways to counteract their influence on the results. In addition, the students will learn how to identify the root of phylogenetic trees and extract ancestral-descendent relations. The workshop is intended to address scientists from undergraduate to postdoc level and does not expect previous experience in phylogenetics. Basic knowledge on how to work with Linux will be advantageous. Prerequisites: None Keywords: Tree phylogeny, gene homology, rooting, robustness Tools: MAFFT, Guidance, PhyML, IQTree, MAD rooting, FigTree. 2020-05-20 09:00:00 UTC 2020-05-20 17:00:00 UTC de.NBI Kiel, Kiel, Germany Kiel Kiel Germany [] [] [] workshops_and_courses [] []

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