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  • An Introduction to R: Software For Statistical Analysis

    26 October - 2 November 2015

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to R: Software For Statistical Analysis https://tess.elixir-europe.org/events/an-introduction-to-r-software-for-statistical-analysis-5b7d1c9b-1e47-4b94-b5b4-c90e3fecc35d The aim of this course is to introduce participants to the basics of statistical analysis and the open source statistical software [R](https://www.r-project.org/), a free software environment for statistical computing and graphics. Participants will actively use R throughout the course, during which they will be introduced to principles of statistical thinking and interpretation by example, exercises and discussion about a range of problems. The examples will be used to present a variety of statistical concepts and techniques, with no focus on any specific discipline. Important information: We have 12 configured laptops for use at the workshop. After these laptops have been allocated, participants will either need to share, or bring their own. These laptops will be allocated to the first individuals to express an interest in using them. When booking, please indicate under "Special requirements" if you wish to use one of the 12 laptops or bring your own. Participants bringing their own laptop will be given instructions on what software to install. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis_bioinfo-IntroR_26.10-28.10-2.11.2015_1545967&CourseName=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis&CourseDate=26.10-28.10-2.11.2015&CourseDuration=3&EventID=1545967).'' 2015-10-26 13:30:00 UTC 2015-11-02 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] All postgraduates Research Assistants and Research Associates who have had minimal exposure to statistical methods and/or software but want to develop the necessary skills to perform analysis and gain experience using R. workshops_and_courses [] []
  • An Introduction to R: Software For Statistical Analysis

    26 October - 2 November 2015

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to R: Software For Statistical Analysis https://tess.elixir-europe.org/events/an-introduction-to-r-software-for-statistical-analysis The aim of this course is to introduce participants to the basics of statistical analysis and the open source statistical software [R](https://www.r-project.org/), a free software environment for statistical computing and graphics. Participants will actively use R throughout the course, during which they will be introduced to principles of statistical thinking and interpretation by example, exercises and discussion about a range of problems. The examples will be used to present a variety of statistical concepts and techniques, with no focus on any specific discipline. Important information: We have 12 configured laptops for use at the workshop. After these laptops have been allocated, participants will either need to share, or bring their own. These laptops will be allocated to the first individuals to express an interest in using them. When booking, please indicate under "Special requirements" if you wish to use one of the 12 laptops or bring your own. Participants bringing their own laptop will be given instructions on what software to install. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis_bioinfo-IntroR_26.10-28.10-2.11.2015_1545967&CourseName=An%20Introduction%20to%20R:%20Software%20for%20statistical%20analysis&CourseDate=26.10-28.10-2.11.2015&CourseDuration=3&EventID=1545967).'' 2015-10-26 13:30:00 UTC 2015-11-02 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] All postgraduatesResearch Assistants and Research Associateswho have had minimal exposure to statistical methods and/or softwarebut want to develop the necessary skills to perform analysis and gain experience using R. workshops_and_courses [] HDRUK
  • Metabolomics Workflows

    30 October - 2 November 2017

    Cambridge, United Kingdom

    Elixir node event
    Metabolomics Workflows https://tess.elixir-europe.org/events/metabolomics-workflows This course will provide an introduction to metabolomics data analysis using publicly available software and tools. Participants will become familiar with the current state of data sharing and data standards in metabolomics. 2017-10-30 09:00:00 UTC 2017-11-02 14:00:00 UTC European Bioinformatics Institute (EMBL-EBI) - Training Room 1, Cambridge, United Kingdom European Bioinformatics Institute (EMBL-EBI) - Training Room 1 Cambridge United Kingdom CB10 1SD [] Frank O’Donnell [] Researchers with an interest in metabolomics and its applications 30 workshops_and_courses registration_of_interest HDRUK
  • Open Targets: Integrating genetics, genomics and drug information for translational research and drug discovery (Webinar)

    7 July 2020

    Cambridge, United Kingdom

    Elixir node event
    Open Targets: Integrating genetics, genomics and drug information for translational research and drug discovery (Webinar) https://tess.elixir-europe.org/events/open-targets-integrating-genetics-genomics-and-drug-information-for-translational-research-and-drug-discovery-webinar [Open Targets](https://www.opentargets.org/) is a public-private partnership to use human genetics, genomic data and drug information for systematic identification and prioritisation of therapeutic targets. This module introduces the Open Targets partnership, its underlying projects and the bioinformatics resources for researchers studying associations of human genes with diseases. In this 90 minute long webinar, [Denise Carvalho-Silva](https://www.ebi.ac.uk/about/people/denise-carvalho-silva/), will focus on [Open Targets Platform](https://www.opentargets.org/) and [Open Targets Genetics](https://genetics.opentargets.org/), open source tools of integrated genetic, genomic and chemical data for target-disease associations. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3497664&amp;course-title=OpenTargets%20webinar).'' 2020-07-07 13:00:00 UTC 2020-07-07 14:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Pharmacogenomics Genotype and phenotype Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] This course is suitable for anyone who has an interest in biomedical and therapeutic research with a special emphasis on target identification and prioritisationearly stages of drug discovery. It is also useful to those who wish to find out how large-scale genomic experimentscomputational and statistical techniques are used to identify and validate the causal links between targetspathways and diseases.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000"> workshops_and_courses [] HDRUK
  • KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics (Webinar)

    29 - 30 July 2020

    Cambridge, United Kingdom

    Elixir node event
    KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics (Webinar) https://tess.elixir-europe.org/events/knime-practical-introduction-to-knime-analytics-platform-and-its-application-in-bioinformatics-webinar This event introduces participants to the [KNIME](https://www.knime.com/) Analytics Platform, an open source data science platform with a visual workflow editor, that can be used by users without prior programming experience or integrated with existing scripts written in R or Python. These sessions are aimed towards anyone who has an interest in building data science workflows with different kinds of life science data. The sessions will cover how to aggregate data from different sources (e.g., files, databases, web services), how to calculate simple statistics (e.g., for data exploration), network mining (e.g., protein-protein interactions) and big data analytics (e.g., next-generation sequencing data). The webinar will combine practical and taught content to demonstrate how users can use KNIME to design and utilise reproducible data science workflows, such as analytics tasks, and better explore and understand their data. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3508000&amp;course-title=KNIME%20webinar).'' 2020-07-29 13:00:00 UTC 2020-07-30 15:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] This hands-on event is suitable for anyone who has an interest in building data science workflows with different kinds of life science data.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000"> workshops_and_courses [] HDRUK

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