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  • Joint SIB / NBIS Autumn School Single Cell Analysis

    13 - 19 October 2019

    Leysin

    Elixir node event
    Joint SIB / NBIS Autumn School Single Cell Analysis https://tess.elixir-europe.org/events/nbis-sib-collaborative-course-single-cell-transcriptomics #training #url: https://www.sib.swiss/training/course/2019-10_single-cell contact: education@nbis.se This course is organised by NBIS/SciLifeLab and the SIB PhD Training Network. Priority is given to their members, but is open to everyone. Overview Single-cell analysis of the various -omics makes possible to discover mechanisms, strains, expressions that would not be noticed when studying bulk cell populations. New developments lead more and more research groups to use this technology and this Autumn School will provide an overview of the various methods and fields of application through lectures and hands-on exercises. Generally, the afternoons will be dedicated to practical exercises where you will be able to apply the theoretical concepts learned during the morning session. Sometimes there will be a mix of both. One afternoon will be devoted to a social activity. See the preliminary program below for more details... Audience This course is addressed to PhD students, postdocs and scientists starting to work with single cell technologies and analysis. Learning objectives The first objective of this school is to provide participants with a broad knowledge of single cell analysis that would enable them to understand its application in general. This would be achieved via the multiple lectures provided by our lecturers throughout the week. The second objective is to enable participants to apply single cell analysis in their own research. This would be achieved by all the exercises that would follow the theoretical lectures. The third objective is networking with the lecturers and also the other participants that will most likely share similar interests. Prerequisites Knowledge / competencies Students should have intermediate to advanced R skills (able to read, understand and write R scripts), know how to use common R/Bioconductor packages, be familiar with the typical steps involved in a bulk RNA-seq (both experimental and data analysis parts). Technical Students should be able to bring their own laptop with R and RStudio installed. A list of required R-packages will be sent before the course and these should be installed prior to the course start. Program Sunday ≈17-18h: arrival of the participants, check-in Welcome and dinner Monday: Transcriptomics Introductory lecture: Vincent Gardeux, Laboratory of Systems and Genetics, EPFL / SIB, Lausanne, Switzerland. Quantification, QC & Normalization: Davide Risso, Department of Statistical Sciences, University of Padova, Italy. Dimensionality reduction: Paulo Czarnewski, NBIS, Uppsala University, SciLifeLab, Uppsala, Sweden. Tuesday: Transcriptomics Batch correction: Panagiotis Papasaikas, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel. Switzerland. Clustering - methods overview: Charlotte Soneson, Computational Biology Group, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland. Cell fate mapping and trajectories: Robrecht Cannoodt, VIB-UGent Center for Inflammation Research, Gent, Belgium. Wednesday: Transcriptomics Differential expression: Charlotte Soneson, Computational Biology, Friedrich Miescher Institute for Biomedical Research / SIB, Basel, Switzerland. Afternoon: Team activity Evening: Keynote lecture: Alejandro Sifrim, Laboratory of Reproductive Genomics, KU Leuwen, Belgium. Thursday: Proteomics Transcriptome + proteome: Johan Reimegård, Uppsala University, SciLifeLab, Uppsala, Sweden. Differential abundance and differential state analysis of single cell cytometry data: Mark Robinson & Helena Crowell, Statistical Genomics, University of Zurich / SIB, Zurich, Switzerland. Friday: Other omics and integration Spatial mapping of scRNAseq: Lars Borm, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. Lineage tracing and scRNA: Maria Florescu, Hubrecht Institute, Developmental Biology and Stem Cell Research, Utrecht, Netherlands. Data integration methods: Sebastien Smallwood, Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. End of the event around 14h30. Application Before applying, be sure your profile matches the prerequisites and do not forget to take this survey. If you do not take the survey, your application will not be taken into consideration. Please use the same email address for the application and the survey. Registration fees are the following: 250 Swiss Francs for members of the SIB PhD Training Network and for PhD students enrolled at a Swedish University, 600 Swiss Francs for other academics, 1200 Swiss Francs for for-profit institutions. This includes full course fees, full board accommodation at the hotel and coffee breaks. Deadline for application and free-of-charge cancellation is set is set to 16 September 2019. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions. You will be informed by email of your registration confirmation. Click to apply Venue and Time Location: Hotel Central Residence & Spa, Leysin, Switzerland. Arrival: Sunday before 18h Departure: Friday around 14h30 Additional information Coordination: Björn Nystedt (NBIS/SciLifeLab), Grégoire Rossier (SIB). Scientific Committe: Åsa Björklund (NBIS/SciLifeLab), Michael Stadler & Charlotte Soneson (SIB and FMI Basel), Vincent Gardeux (EPFL). For more information, please contact Grégoire Rossier. 2019-10-13 09:00:00 UTC 2019-10-19 00:00:00 UTC Leysin Leysin [] jessica.lindvall@scilifelab.se [] [] [] [] []
  • 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 [] []
  • Introduction to Linux and HPC for biologists

    30 October 2019

    Melbourne, Australia

    Introduction to Linux and HPC for biologists https://tess.elixir-europe.org/events/introduction-to-linux-and-hpc-for-biologists-e3dd792c-1b9d-4539-96ba-53226bc84a38 2019-10-30 01:00:00 UTC 2019-10-30 17:00:00 UTC Melbourne Bioinformatics University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia 3053 Bioinformatics University of Melbourne [] [] [] [] bioinformaticsHPClinux
  • Advanced Linux and Shell Scripting for biologists

    31 October 2019

    Melbourne, Australia

    Advanced Linux and Shell Scripting for biologists https://tess.elixir-europe.org/events/advanced-linux-and-shell-scripting-for-biologists-ab563b04-f224-494d-a7cd-283d078a1f92 2019-10-31 01:00:00 UTC 2019-10-31 17:00:00 UTC Melbourne Bioinformatics Room 355 Arts West North Wing Professors Walk, Melbourne, Australia Room 355 Arts West North Wing Professors Walk Melbourne Australia Bioinformatics University of Melbourne [] [] [] [] bioinformaticslinuxShell script
  • Introduction to protein-protein interactions using BioGRID and IntAct

    1 November 2019

    Melbourne, Australia

    Introduction to protein-protein interactions using BioGRID and IntAct https://tess.elixir-europe.org/events/introduction-to-protein-protein-interactions-using-biogrid-and-intact 2019-11-01 09:30:00 UTC 2019-11-01 16:30:00 UTC Melbourne Bioinformatics 187 Grattan St , Melbourne, Australia 187 Grattan St Melbourne Australia 3053 Bioinformatics University of Melbourne [] [] [] [] bioinformatics
  • 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
  • Lipidomics MS Data processing, identification & quantification - Lipidomics Forum 2019

    10 November 2019

    Borstel, Germany

    Lipidomics MS Data processing, identification & quantification - Lipidomics Forum 2019 https://tess.elixir-europe.org/events/lipidomics-ms-data-processing-identification-quantification-lipidomics-forum-2019 Educators: Jacobo Miranda Ackermann, Nils Hoffmann (BioInfra.Prot / LIFS) Date: November 10th, 2019 Location: Forschungszentrum Borstel, Borstel, Germany (as part of Lipidomics Forum 2019) Contents: In this course, we will work through a typical use-case for bioinformatics processing lipidomics data following MS acquisition. The first part of the course will start with PeakStrainer and LipidXplorer for filtering, identification and quantification of lipid signals from shotgun lipidomics. The second part of the course will work through an example for targeted LC-MS lipidomics with LipidCreator and Skyline. The course will consist of a short theory and background overview of the employed programs complemented by the application of the tools to a provided data set. 10:00 - 10:45 Common Introduction 10:45 - 12:30 LipidXplorer Shotgun Lipidomics 12:30 - 13:30 Lunch break 13:30 - 16:30 LipidCreator & Skyline Targeted LC-MS lipidomics Learning goals: Participants will be able to understand and explain the shotgun MS and targeted LC-MS workflows for lipidomics. They will learn the fundamentals of the software tools used and how to choose parameters for them. They will learn to understand and interpret the results of each step of the pipeline. Prerequisites: Basic knowledge of lipidomics, analytical workflows in lipidomics and basic familiarity with web-based and desktop applications. Participants are required to bring their own laptop in order to work on the hands-on exercises. Keywords: Lipidomics, Shotgun, Targeted, LC-MS Tools: PeakStrainer and LipidXplorer, LipidCreator, Skyline 2019-11-10 09:00:00 UTC 2019-11-10 17:00:00 UTC de.NBI Borstel, Borstel, Germany Borstel Borstel Germany [] [] [] [] [] []
  • Statistical analysis & qualitative and quantitative comparison of lipidomics data - Lipidomics Forum 2019

    10 November 2019

    Borstel, Germany

    Statistical analysis & qualitative and quantitative comparison of lipidomics data - Lipidomics Forum 2019 https://tess.elixir-europe.org/events/statistical-analysis-qualitative-and-quantitative-comparison-of-lipidomics-data-lipidomics-forum-2019 Educators: Fadi al Machot, Nils Hoffmann (BioInfra.Prot / LIFS) Date: November 10th, 2019 Location: Forschungszentrum Borstel, Borstel, Germany (as part of Lipidomics Forum 2019) Contents: In this course, we will work through a typical use-case of downstream data processing of shotgun lipidomics data following MS acquisition with LipidXplorer. We will inspect, check and normalize the data as well as calculate absolute quantities using internal class-specific standards. We will then perform a qualitative comparison of the lipidomes using the LUX Score lipidome homology, before finally comparing and visualizing our quantitative lipidome results with ClovR. The course will consist of a short theory and background overview of the employed programs complemented by the application of the tools to provided data sets. 10:00 - 10:45 Common Introduction 10:45 - 12:30 R Scripting for LipidXplorer data quantification Quantitative lipidome comparison wiht ClovR 12:30 - 13:30 Lunch break 13:30 - 16:30 Qualitative lipidome with LUX Score Machine learning, clustering and classification for lipidomics data Learning goals: Participants will be able to understand and explain the shotgun lipidomics data analysis workflow. They will learn the fundamentals of the software tools used and how to choose parameters for them. They will learn to understand and interpret the results of each step of the pipeline. Prerequisites: Basic knowledge of lipidomics, analytical workflows in lipidomics and basic familiarity with web-based applications. Basic knowledge of R and RStudio is a plus to understand the quantitation workflow. Participants are required to bring their own laptop in order to work on the hands-on exercises. Keywords: Lipidomics, Statistical Analysis, Visualization Tools: R, RStudio, LUX Score, ClovR. 2019-11-10 09:00:00 UTC 2019-11-10 17:00:00 UTC de.NBI Borstel, Borstel, Germany Borstel Borstel 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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