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3 events found

City: Bogota  or Heidelberg  or tbd  or Basel  or Melbourne  or Oslo 


Target audience: Professionals involved in p...  or Researchers 

  • Sequences and genomic features in R

    4 September 2017

    Melbourne, Australia

    Sequences and genomic features in R This course introduces Bioconductor, a comprehensive collection of R packages related to bioinformatics. We will demonstrate the Bioconductor way of doing things and how to work with biological data types, and equip you to confidently approach whichever specific Bioconductor packages you need. Pre-requisite To attend this class, you must have attended our introductory R course or be reasonably familiar with the R language. 2017-09-04 14:00:00 UTC 2017-09-04 16:00:00 UTC Monash Bioinformatics Platform Melbourne, Melbourne, Australia Melbourne Melbourne Australia Bioinformatics Monash University Dr Sonika Tyagi, [] PhD studentsPost-docsBioinformaticiansResearchers workshops_and_courses registration_of_interest R-programmingbioinformaticsBioconductor
  • Genome sequencing technologies, assembly, variant calling and statistical genomics

    22 October - 2 November 2018

    Oslo, Norway

    Elixir node event
    Genome sequencing technologies, assembly, variant calling and statistical genomics 2018-10-22 09:00:00 UTC 2018-11-02 17:00:00 UTC NORBIS, the Norwegian national research school in bioinformatics, biostatistics and systems biology Gaustadalléen 23, 23, Gaustadalléen, Oslo, Norway Gaustadalléen 23, 23, Gaustadalléen Oslo Oslo kommune Norway Sequencing Statistics and probability Bioinformatics Genomics university of Oslo NORBIS PhD studentsPost DocsResearchers [] registration_of_interest genomicsbioinformaticsGenome sequence analysis
  • Data Management Planning workshop for Life Science Projects

    27 March 2020

    Oslo, Norway

    Data Management Planning workshop for Life Science Projects We are pleased to announce the Data Management planning workshop for Life Scientists organised in Oslo by [ELIXIR Norway](, [Digital Life Norway]( and [UiO Research Data team]( The intended audience are researchers (PhD candidates, Post Doctoral Fellows, Researchers, Associate Professors and Professors) who are planning to submit a grant application for a research project. Max. number of participants is 30. In this course we will cover how to generate a data management plan for a Life Science research project, which will meet the requirements of the funding organisations. ## Course content: ##### 0900 - 0915 Introduction ##### 0915 - 0945 Requirements from institutions & funding bodies * UiO * H2020/ERC * Research Council Norway ##### 0945 - 1015 About legal requirements * Health Research Act * Personal Data Act ##### 1015 - 1030 Short break ##### 1030 - 1115 Licensing of data, biological material and software ##### 1115 - 1200 Information on national and local storage infrastructures * NeLS/StoreBioInfo * NIRD * TSD * UiO Computing & Storage resources ##### 1200 - 1230 Lunch ##### 1230 - 1315 Relevant deposition repositories/ data archives * domain specific archives (ELIXIR/EMBL-EBI, NCBI) * NIRD archive * DataverseNO * NSD * generic repositories ##### 1315 - 1330 Short break ##### 1330 - 1600 Hands on training and assistance to generate a data management plan ## Requirements: Bring your own laptop and your research project if you have one. You will get the opportunity to set up a data management plan for your project with help of the [Data Steward Wizard tool]( using a structured and detailed questionnaire with references to relevant resources. #### [Register]( before 20th of March 2020 2020-03-27 09:00:00 UTC 2020-03-27 16:00:00 UTC ELIXIR-Norway Moltke Moes vei 39, Georg Sverdrups hus, Auditorium 2,, Oslo, Norway Moltke Moes vei 39, Georg Sverdrups hus, Auditorium 2, Oslo Norway 0851 Data management University of Oslo Elin Stangeland, Ståle Nygård, Korbinian Bösl Digital Life Norway PhD Students Postdocs and Staff members from the University of CambridgeProfessorsResearchers 30 workshops_and_courses first_come_first_served Data management plandata management
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