5 events found

Scientific topics: Biology 

  • An Introduction to Solving Biological Problems with R

    17 - 18 December 2018

    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-86e09949-ce24-4300-b3bf-194a56cfdda5 [R](https://www.r-project.org/) is a highly-regarded, free, software environment for statistical analysis, with many useful features that promote and facilitate reproducible research. In this course, we give an introduction to the R environment and explain how it can be used to import, manipulate and analyse tabular data. After the course you should feel confident to start exploring your own dataset using the materials and references provided. The course website providing links to the course materials is [here](http://cambiotraining.github.io/r-intro/). Please note that although we will demonstrate how to perform statistical analysis in R, we will not cover the theory of statistical analysis in this course. Those seeking an in-depth explanation of how to perform and interpret statistical tests are advised to see the list of Related courses. Moreover, those with some programming experience in other languages (e.g. Python, Perl) might wish to attend the follow-on [Data Analysis and Visualisation in R](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-intR) course. This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1). The training room is located on the first floor and there is currently no level access. 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=2657161&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2018-12-17 09:30:00 UTC 2018-12-18 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • 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 level access. 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 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 [] []
  • Data Manipulation and Visualisation in R

    30 January 2019

    Cambridge, United Kingdom

    Elixir node event
    Data Manipulation and Visualisation in R https://tess.elixir-europe.org/events/data-manipulation-and-visualisation-in-r-72066670-8f28-4c86-9bda-580d332b2dc5 This course introduces some relatively new additions to the R programming language: dplyr and ggplot2. In combination these R packages provide a powerful toolkit to make the process of manipulating and visualising data easy and intuitive. Materials for this course can be found [here](http://bioinformatics-core-shared-training.github.io/r-intermediate/). The training room is located on the first floor and there is currently no level access. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2823261&course-title=Data%20manipulation%20and%20visualisation).'' 2019-01-30 09:30:00 UTC 2019-01-30 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Biology Bioinformatics University of Cambridge Bioinformatics Training [] Existing R users who are not familiar with dplyr and ggplot2Those with programming experience in other languages that want to know what R can offer themGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • An Introduction to Solving Biological Problems with Python

    27 - 28 February 2019

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with Python https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-b0c5de54-d51d-4c41-821a-267a854773f3 This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs and customize more complex code to fit their needs. Course materials are available [here](http://pycam.github.io). Please note that the content of this course has recently been updated. This course now mostly focuses on core concepts including Python syntax, data structures and reading/writing files. Concepts and strategies for working more effectively with Python are now the focus of a new 2-days course, [Data Science in Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-dspyt/). The training room is located on the first floor and there is currently no level access. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2823201&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2019-02-27 09:30:00 UTC 2019-02-28 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Extracting biological information from gene lists

    1 March 2019

    Cambridge, United Kingdom

    Elixir node event
    Extracting biological information from gene lists https://tess.elixir-europe.org/events/extracting-biological-information-from-gene-lists Many experimental designs end up producing lists of hits, usually based around genes or transcripts. Sometimes these lists are small enough that they can be examined individually, but often it is useful to do a more structured functional analysis to try to automatically determine any interesting biological themes which turn up in the lists. This course looks at the various software packages, databases and statistical methods which may be of use in performing such an analysis. As well as being a practical guide to performing these types of analysis the course will also look at the types of artefacts and bias which can lead to false conclusions about functionality and will look at the appropriate ways to both run the analysis and present the results for publication. Course materials are available [here](https://www.bioinformatics.babraham.ac.uk/training.html#fagl). The training room is located on the first floor and there is currently no level access. 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=2672953&course-title=Extracting%20biological%20information%20from%20gene%20lists).'' 2019-03-01 09:30:00 UTC 2019-03-01 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
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