University of Cambridge Bioinformatics Training

We offer a broad range of undergraduate and postgraduate hands-on training courses focused on bioinformatics and computational biology. These training activities aim at enabling life scientists to effectively handle and interpret biological data.

University of Cambridge Bioinformatics Training https://tess.elixir-europe.org/content_providers/university-of-cambridge-bioinformatics-training We offer a broad range of undergraduate and postgraduate hands-on training courses focused on bioinformatics and computational biology. These training activities aim at enabling life scientists to effectively handle and interpret biological data. /system/content_providers/images/000/000/057/original/logo.png?1477998653
Showing 2 materials.
Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R

An overview of Unix and R for bioinformatics

Keywords: Unix, R-programming

Resource type: Training materials

Summer School 2018 TrainMalta: Epigenomics. Introduction to Unix and R https://tess.elixir-europe.org/materials/summer-school-2018-trainmalta-epigenomics-introduction-to-unix-and-r An overview of Unix and R for bioinformatics Luigi Grassi Unix, R-programming PhD students Life Science Researchers
Data Carpentry in R

Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. We will cover Data organization in spreadsheets, data...

Keywords: Data analysis, Data carpentry, SoftwareCarpentry

Resource type: course materials

Data Carpentry in R https://tess.elixir-europe.org/materials/data-carpentry-in-r Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. We will cover Data organization in spreadsheets, data cleaning with OpenRefine, and learn how to use the statistical program R. If time allows we will also talk about Interacting with databases from R. Participants will be encouraged to help one another and to apply what they have learned to their own research problems Data analysis, Data carpentry, SoftwareCarpentry Anyone
Showing 11 upcoming events. Found 302 past events. View all results.
  • An Introduction to Solving Biological Problems with Python

    29 - 30 November 2018

    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-cfb6591f-4c17-4558-ad6a-9a387dbd461a 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/). 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=2605782&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2018-11-29 09:30:00 UTC 2018-11-30 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 [] []
  • An Introduction to Solving Biological Problems with R

    24 - 25 October 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-7c7c2861-6185-4e2e-8ca6-ce5a8316ba9e [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. 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=2601305&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2018-10-24 08:30:00 UTC 2018-10-25 16:30:00 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 [] []
  • Bioinformatics for Biologists: An introduction to programming, analysis, and reproducibility

    3 - 7 December 2018

    Cambridge, United Kingdom

    Elixir node event
    Bioinformatics for Biologists: An introduction to programming, analysis, and reproducibility https://tess.elixir-europe.org/events/bioinformatics-for-biologists-an-introduction-to-programming-analysis-and-reproducibility This 1-week course aims to provide an introduction to the best practises and tools needed to perform bioinformatics research effectively and reproducibly. Focusing on solutions around handling biological data, we will cover introductory lessons in programming in R, statistical analyses, data management and reproducibility. The R component of the course will cover from basic steps in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming/coding is required. The course also includes introductory sessions in statistics and working examples on how to analyse biological data. At the end of the course we will address issues relating to reusability and reproducibility. More information about the course can be found [here](https://e.issuu.com/anonymous-embed.html?u=bioinfocambs&d=bioinformaticsforbiologists_dec2018). 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=2731538&course-title=Bioinformatics%20for%20Biologists).'' 2018-12-03 09:30:00 UTC 2018-12-07 17:30:00 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 [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Ontologies and ontology-based data analysis

    21 November 2018

    Cambridge, United Kingdom

    Elixir node event
    Ontologies and ontology-based data analysis https://tess.elixir-europe.org/events/ontologies-and-ontology-based-data-analysis Ontologies have long provided a core foundation in the organization of biomedical entities, their attributes, and their relationships. With over 500 biomedical ontologies currently available there are a number of new and exciting opportunities emerging in using ontologies for large scale data sharing and data analysis. This tutorial will help you understand what ontologies are and how they are being used in computational biology and bioinformatics. It will include hands-on examples and exercises and an introduction to Onto2Vec and OPA2Vec, two methods that can be used to learn semantic similarity measures in a data- and application-driven way. 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=2660714&course-title=Ontologies%20and%20ontology-based%20data%20analysis).'' 2018-11-21 10:00:00 UTC 2018-11-21 15:00:00 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 [] The tutorial will be of interest to computational biologists who useproduce or analyse large structured datasets.The tutorial will be at an introductory levelbut will also describe current research directions and challenges that will be of broad interest to researchers in computational biology.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Data Science in Python

    30 - 31 October 2018

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python https://tess.elixir-europe.org/events/data-science-in-python This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code, using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing modules and classes. Note: this course is the continuation of the [Introduction to Solving Biological Problems with Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-python/); participants are expected to have attended the introductory Python course and/or have acquired some working knowledge of Python. This course is also open to Python beginners who are already fluent in other programming languages as this will help them to quickly get started in Python. 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=2693203&course-title=Data%20Science%20in%20Python).'' 2018-10-30 09:30:00 UTC 2018-10-31 16:30:00 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. 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 [] []
  • Using CellProfiler and CellProfiler Analyst to analyse biological images

    10 - 11 December 2018

    Cambridge, United Kingdom

    Elixir node event
    Using CellProfiler and CellProfiler Analyst to analyse biological images https://tess.elixir-europe.org/events/using-cellprofiler-and-cellprofiler-analyst-to-analyse-biological-images-784b3b6a-5e06-4064-b715-9c596d8b9d43 Microscopy experiments have proven to be a powerful means of generating information-rich data for biological applications. From small-scale microscopy experiments to time-lapse movies and high-throughput screens, automatic image analysis is more objective and quantitative and less tedious than visual inspection. This course will introduce users to the free open-source image analysis program [CellProfiler](http://cellprofiler.org/) and its companion data exploration program CellProfiler Analyst. We will show how CellProfiler can be used to analyse a variety of types of imaging experiments. We will also briefly discuss the basic principles of supervised machine learning with CellProfiler Analyst in order to score complex and subtle phenotypes. 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=2657149&course-title=Using%20CellProfiler%20and%20CellProfiler%20Analyst%20to%20analyse%20biological%20images).'' 2018-12-10 09:30:00 UTC 2018-12-11 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who want to extract quantitative information from microscopy imagesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Using the Ensembl Genome Browser

    12 November 2018

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-b42db759-b556-4b79-9941-512d1189c6c7 The [Ensembl Project](http://www.ensembl.org) provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This workshop offers a comprehensive practical introduction to the use of the Ensembl genome browser as well as essential background information. This course will focus on the vertebrate genomes in Ensembl, however much of what will be covered is also applicable to the non-vertebrates (plants, bacteria, fungi, metazoa and protists) in Ensembl Genomes. 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=2664356&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2018-11-12 09:30:00 UTC 2018-11-12 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Gene transcripts Gene structure 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 [] []
  • Statistics for Biologists in R

    9 - 17 January 2019

    Cambridge, United Kingdom

    Elixir node event
    Statistics for Biologists in R https://tess.elixir-europe.org/events/statistics-for-biologists-in-r-73533e80-5de9-4b16-9dd9-814deb24115d This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences using the R software package. In this course we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to multiple linear regression. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques. 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=2672926&course-title=Statistics%20for%20Biologists%20in%20R).'' 2019-01-09 13:30:00 UTC 2019-01-17 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 [] []
  • Analysis of DNA Methylation using Sequencing

    14 December 2018

    Cambridge, United Kingdom

    Elixir node event
    Analysis of DNA Methylation using Sequencing https://tess.elixir-europe.org/events/analysis-of-dna-methylation-using-sequencing-451867ff-b0e1-4e80-9606-54c7ada67d97 This course will cover all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications. It will also include exploratory analysis of methylation, looking at different methods of quantitation, and a variety of ways of looking more widely at the distribution of methylation over the genome. Finally the course will look at statistical methods to predict differential methylation. The course will be comprised of a mixture of theoretical lectures and practicals covering a range of different software packages. 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=2653218&course-title=Analysis%20of%20DNA%20Methylation%20using%20Sequencing).'' 2018-12-14 09:30:00 UTC 2018-12-14 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Epigenetics Data visualisation 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 [] []
  • Introduction to Scientific Figure Design

    14 November 2018

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Scientific Figure Design https://tess.elixir-europe.org/events/introduction-to-scientific-figure-design-604aab1e-fed2-40e7-b756-93e6f250c78a This course provides a practical guide to producing figures for use in reports and publications. It is a wide ranging course which looks at how to design figures to clearly and fairly represent your data, the practical aspects of graph creation, the allowable manipulation of bitmap images and compositing and editing of final figures. The course will use a number of different open source software packages and is illustrated with a number of example figures adapted from common analysis tools. Further information and access to the course materials is [here](http://www.bioinformatics.babraham.ac.uk/training.html#figuredesign). 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=2653212&course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2018-11-14 09:30:00 UTC 2018-11-14 17:30:00 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 [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []