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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.oerc.ox.ac.uk/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/000/000/004/original/logo.png?1530806844
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  • An Introduction to MATLAB for biologists (ONLINE LIVE TRAINING)

    29 - 30 June 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to MATLAB for biologists (ONLINE LIVE TRAINING) https://tess.oerc.ox.ac.uk/events/an-introduction-to-matlab-for-biologists-424f97b3-c385-4fb0-9edd-b728144e4241 PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team be teaching the course live online, with tutors available to help you work through the course material on a personal copy of the course environment. We will be aiming to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This course aims to give you an introduction to the basics of Matlab. During the two day course we will use a practical based approach to give you the confidence to start using Matlab in your own work. In particular we will show you how to write your own scripts and functions and how to use pre-written functions. We will also explore the many ways in which help is available to Matlab users. In addition we will cover basic computer programming in Matlab to enable you to write more efficient scripts. 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://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3398010&course-title=An%20Introduction%20to%20MATLAB).'' 2020-06-29 08:30:00 UTC 2020-06-30 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics Biology University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Data Science School: Machine learning applications for life sciences

    21 - 24 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science School: Machine learning applications for life sciences https://tess.oerc.ox.ac.uk/events/data-science-school-machine-learning-applications-for-life-sciences This School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models. Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Centre for Data-Driven Discovery (C2D3)](https://www.bigdata.cam.ac.uk/). 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=3357195&amp;course-title=Data%20Science%20School).'' 2020-09-21 09:00:00 UTC 2020-09-24 14:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics Machine learning University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £400. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £200. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
  • Data Science in Python (ONLINE LIVE TRAINING)

    1 - 2 June 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python (ONLINE LIVE TRAINING) https://tess.oerc.ox.ac.uk/events/data-science-in-python-online-live-training PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team be teaching the course live online, with tutors available to help you work through the course material on a personal copy of the course environment. We will be aiming to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. 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 or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3414283&amp;course-title=Data%20Science%20in%20Python).'' 2020-06-01 08:30:00 UTC 2020-06-02 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics Biology University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Ensembl REST API workshop

    2 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Ensembl REST API workshop https://tess.oerc.ox.ac.uk/events/ensembl-rest-api-workshop-d74f32ed-df93-4dd0-946b-4c12429c240c The [Ensembl project](http://www.ensembl.org/) provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences. This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers how to use the Ensembl [REST APIs](http://rest.ensembl.org/), including understanding the major endpoints and how to write scripts to call them. 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=3351102&amp;course-title=Ensembl%20REST%20API%20Workshop).'' 2020-09-02 08:30:00 UTC 2020-09-02 14:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Bioinformaticians and wet-lab biologists who can programGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using the Ensembl Genome Browser

    1 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser https://tess.oerc.ox.ac.uk/events/using-the-ensembl-genome-browser-4c77edcd-f68c-4441-97c2-fde02f0d33ed 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. 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=3351117&amp;course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2020-09-01 08:30:00 UTC 2020-09-01 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics Gene structure Gene transcripts University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An Introduction to Machine Learning

    24 - 26 June 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.oerc.ox.ac.uk/events/an-introduction-to-machine-learning-bea6c4d5-30bb-4094-8df2-446b4d59bb8c Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment. Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes. 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=3401732&amp;course-title=An%20Introduction%20to%20Machine%20Learning).'' 2020-06-24 08:30:00 UTC 2020-06-26 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics Data mining Machine learning University of Cambridge Bioinformatics Training [] This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Introduction to R for Biologists (ONLINE LIVE TRAINING)

    22 - 23 June 2020

    Cambridge, United Kingdom

    Elixir node event
    Introduction to R for Biologists (ONLINE LIVE TRAINING) https://tess.oerc.ox.ac.uk/events/introduction-to-r-for-biologists-online-live-training-295be100-0b17-4150-8aef-b54cb3dab982 PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team will be teaching the course live online, with tutors to assist you with instant and personalised feedback and to help you to run/execute the scripts which we will be using during the course. We will be aiming to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. R is one of the leading programming languages in Data Science. It is widely used to perform statistics, machine learning, visualisations and data analyses. It is an open source programming language so all the software we will use in the course is free. This course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data. During the course we will be working with one of the most popular packages in R; tidyverse that will allow you to manipulate your data effectively and visualise it to a publication level standard. 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=3338957&amp;course-title=Introduction%20to%20R%20for%20Biologists).'' 2020-06-22 08:30:00 UTC 2020-06-23 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 [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK