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6 events found

Scientific topics: Bioinformatics 

and

Keywords: eLearning  or Immunity  or EeLP  or GWAS 

  • GOBLET/ELIXIR-EXCELERATE Workshop on e-learning

    21 November 2017

    Oeiras, Portugal

    Elixir node event
    GOBLET/ELIXIR-EXCELERATE Workshop on e-learning https://tess.elixir-europe.org/events/goblet-elixir-excelerate-workshop-on-e-learning GOBLET/ELIXIR-EXCELERATE Workshop on e-learning, Nov 21, 2017 at the Gulbenkian Institute of Science, Oeiras, Portugal 2017-11-21 09:00:00 UTC 2017-11-21 17:00:00 UTC Instituto Gulbenkian, ELIXIR Portugal, GOBLET Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande, Oeiras, Portugal Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande Oeiras Portugal Bioinformatics Instituto Gulbenkian de Ciência [] Researchersteachers workshops_and_courses registration_of_interest TeachingeLearningEeLPbioinformatics
  • H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1

    20 August 2018

    H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 1 https://tess.elixir-europe.org/events/h3abionet-2018-genotyping-chip-data-analysis-and-gwas-lecture-series #### Computational requirements for running the H3ABioNet GWAS workflows The first of a series of seven online lectures for Genome Wide Association Studies (GWAS) will cover the technical requirements for setting up a your computational environment for running the H3ABioNet GWAS workflows. In this inaugural lecture of the series, Prof. Hazelhurst will cover the the following topics: Installing and using Nextflow Installing and using Github Use of containers for packaging and running tools Pulling the GWAS pipeline from Github and running it As this lecture aims to provide attendees with an environment to the run the H3ABioNet GWAS workflow at their own pace, there are some preliminary software requirements: Either a Linux machine or an Apple running macOS Ideally you should have machine with at least 2-4 cores and 8GB of RAM. Java 8 Nextflow installed (see installation instructions at https://www.nextflow.io/) Python 3 Please also install either Docker OR the following dependencies using pip3: Pandas, Matplotlib, Openpyxl, SciPy, NumPy PLINK 1.9 [Please also refer to the following documentation to obtain the H3ABioNet GWAS workflow]: https://github.com/h3abionet/h3agwas/blob/master/README.md 2018-08-20 15:00:00 UTC 2018-08-20 16:30:00 UTC H3ABioNet Population genomics Genotyping experiment Computational biology Workflows GWAS study Bioinformatics H3ABioNet info@h3abionet.org H3ABioNet Anyone intersted in GWAS and using the H3Africa genotyping chipAnyone who wants to learn more about GWAS workshops_and_courses [] NextflowDockerH3ABioNetGWASWorkflowsGenotyping array analysis bioinformaticsAfricaPopulation GenomicsReproducible ScienceH3Africa genotyping arrayHigh performance computingCloud computingGWAS workflowH3ABioNet GWAS 2018 Lecture Series
  • H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 5

    3 September 2018

    H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 5 https://tess.elixir-europe.org/events/h3abionet-2018-genotyping-chip-data-analysis-and-gwas-lecture-series-ce96b48a-423a-435c-beae-9ddfcaba38a6 ### Population structure in GWAS The fifth of a series of seven H3ABioNet online lectures for Genome Wide Association Studies (GWAS) will introduce the concept of population structure/stratification (PS) and suggest why it is critical to consider PS in a GWAS. The lecture will begin by familiarizing the types of PS that are encountered and explain the factors that could cause them to appear in a GWAS dataset. It will then cover the methods that are commonly used to identify PS in a dataset and finally discuss the available computational approaches to correct for PS in a GWAS. Date: 3rd September 2018 Time: 2pm WAT / 3pm CAT / 4pm EAT [Url to join the lecture]: http://meeting.uct.ac.za/h3abionet_gwas/ 2018-09-03 15:00:00 UTC 2018-09-03 16:30:00 UTC H3ABioNet Genotyping experiment Bioinformatics GWAS study Population genetics Population genomics H3ABioNet info@h3abionet.org H3ABioNet Anyone intersted in GWAS and using the H3Africa genotyping chip 150 meetings_and_conferencesworkshops_and_courses first_come_first_served Population structureGWASCorrect for population structureH3ABioNetH3AfricaAWI-GEN
  • H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 6

    5 September 2018

    H3ABioNet 2018 Genotyping Chip Data Analysis and GWAS lecture series - Lecture 6 https://tess.elixir-europe.org/events/h3abionet-2018-genotyping-chip-data-analysis-and-gwas-lecture-series-lecture-6 ### Imputation and its importance in GWAS The sixth of a series of seven H3ABioNet online lectures for Genome Wide Association Studies (GWAS) will introduce the fundamentals of genotype imputation and its importance in GWAS. This lecture will cover the reference panels, file formats, algorithms and tools commonly used for imputation. It will discuss the assessment of the quality of imputation as well as the evaluation of reference panel and imputation methods. The lecture will also explain how imputation enhances the scope a GWAS and describe some of the additional analyses that become possible due to the use of imputed data. 2018-09-05 15:00:00 UTC 2018-09-05 16:30:00 UTC H3ABioNet Population genetics Population genomics Computational biology Bioinformatics Genotyping experiment GWAS study H3ABioNet info@h3abionet.org H3ABioNet Anyone intersted in GWAS and using the H3Africa genotyping chip 150 workshops_and_courses first_come_first_served ImputationGWASAfrican populationsImputation panel
  • ELIXIR Norway: Hands-on bioinformatics NeLS workshop

    26 November 2019

    Tromsø, Norway

    Elixir node event
    ELIXIR Norway: Hands-on bioinformatics NeLS workshop https://tess.elixir-europe.org/events/elixir-norway-hands-on-bioinformatics-nels-workshop We are pleased to announce the second hands-on bioinformatics NeLS workshop organised in Tromsø by [ELIXIR Norway](https://www.elixir-norway.org/). The topic is on how you can use the Norwegian e-Infrastructure for Life Sciences - [NeLS](nels.bioinfo.no) to store and share data, and to run analyses via customisable analysis workflows in Galaxy. More specifically, we will go through how you can store data in NeLS and upload it directly into Galaxy. We will also construct and run a complete sequence analysis workflow for taxonomic profiling on a metagenomic sample. There are no requirements for programming skills or experience using the command line, as Galaxy provides a web interface for running analysis. 2019-11-26 09:00:00 UTC 2019-11-26 15:00:00 UTC ELIXIR Norway University of Tromsø, Medisin og helsefagbygget (MH øst): Datarom (U7.110), Tromsø, Norway University of Tromsø, Medisin og helsefagbygget (MH øst): Datarom (U7.110) Tromsø Tromsø Norway 9019 Bioinformatics University of Tromsø ELIXIR Norway life scientistsdata managers 20 workshops_and_courses by_invitation bioinformaticsNeLSGalaxyEeLPeLearning
  • Introductory Linux Tutorial for Life Sciences 4

    10 - 12 December 2019

    Elixir node event
    Introductory Linux Tutorial for Life Sciences 4 https://tess.elixir-europe.org/events/introductory-linux-tutorial-for-life-sciences-4 NBIS (the Swedish node of ELIXIR) and ELIXIR Slovenia are offering an "Introduction to Linux" course targeted at life scientists who want to extend their skills and knowledge. Big data (usually in the form of large text files) are generated nowadays in many fields of science. Trying to handle this data with applications like Word or Excel is difficult or impossible, while using the Linux command line can improve data processing efficiency. Unix/Linux provides an excellent computing environment for several disciplines (such as bioinformatics, physics, engineering) and the command line interpreter (shell) serves as an interface to many big-data processing programs. The course provides a basic introduction to Unix/Linux commands and covers how Unix/Linux commands can be used to manage and inspect your data and results, and how to generate and run pipelines and workflows using basic shell scripting. Finally, we will show you how the command line is used for access to supercomputers for boosting your scientific research. Participants will be able to attend the course either by traveling to Stockholm or to Umeå in Sweden, to Ljubljana in Slovenia, or by connecting remotely via the ELIXIR Slovenia eLearning Platform (EeLP). The number of remote students is limited to 30. The number of students per classroom is limited to 15 for Stockholm and Umeå, and 20 for Ljubljana. Additional participants will be placed on a waiting list and contacted as soon as space becomes available. The course will be broadcast from Sweden. ***The registration deadline has been extended until Friday, November 22.*** 2019-12-10 09:00:00 UTC 2019-12-12 17:00:00 UTC ELIXIR Sweden (NBIS) and ELIXIR Slovenia Bioinformatics Computer science NBISUniversity of Ljubljana, Faculty of Medicine [] Life Science ResearchersbioinformaticiansBiophysicistsengineers [] [] life sciences LinuxUnixEeLPeLearningCommand line
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