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  • An Introduction to Solving Biological Problems with R

    16 - 17 February 2015

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with R https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-a5bf1162-48ee-4baa-8664-c91ae02d3f46 This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented. Further information is available [here](http://ruddles.bio.cam.ac.uk/~dpjudge/Descriptions/R_Intro.php). The Course Web Site providing links to the course materials is [here](http://logic.sysbiol.cam.ac.uk/teaching/Rcourse/). 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=Bioinformatics:%20An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R_gsls-rintro_2015.02.16-17_1346838&CourseName=Bioinformatics:%20An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R&CourseDate=2015.02.16-17&CourseDuration=2&EventID=1346838).'' 2015-02-16 09:30:00 UTC 2015-02-17 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of Cambridge and InstitutionsGraduate studentsPostdocs and Staff members from all other external InstitutionsIndividual Course fees are required only from external participants not from Institutions workshops_and_courses [] HDRUK
  • Exploring, visualising and analysing proteomics data in R

    24 January 2019

    Cambridge, United Kingdom

    Elixir node event
    Exploring, visualising and analysing proteomics data in R https://tess.elixir-europe.org/events/exploring-visualising-and-analysing-proteomics-data-in-r This course will present a set of R/Bioconductor packages to access, manipulate, visualise and analyse mass spectrometry (MS) and quantitative proteomics data. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=2759559&course-title=Exploring%20Visualising%20and%20analysing%20proteomics%20data%20in%20R).'' 2019-01-24 09:30:00 UTC 2019-01-24 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Proteomics Data visualisation Biology Bioinformatics University of Cambridge Bioinformatics Training [] The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data. Familiarity with mass spectrometry or proteomics in general is desirablebut not essential as we will walk through a MS typical experiment and data as part of learning about the tools.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] 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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