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15 events found

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  • Introduction to working with UNIX and bash (ONLINE LIVE TRAINING)

    27 - 28 January 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to working with UNIX and bash (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-working-with-unix-and-bash-online-live-training-48519e55-5370-4e37-93d9-9a260cb0195d PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Using the Linux operating system and the bash command line interface, we will demonstrate the basic structure of the UNIX operating system and how we can interact with it using a basic set of commands. Applying this, we will learn how to navigate the filesystem, manipulate text-based data and structure simple pipelines out of these commands. Building on the techniques learnt so far, we will then construct bash scripts combining the commands and structures already learnt into more complex, reusable tools. We will look at how we can apply these scripts to common problems faced in UNIX environments such as: communicating with remote servers; managing custom software installations and integrating these tools into our simple pipelines. This course is targeted at participants with no prior experience working with UNIX-like systems (OSX, Linux) or command line interfaces. 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=4173071&course-title=Introduction%20to%20working%20with%20Unix%20and%20bash).'' 2022-01-27 09:30:00 UTC 2022-01-28 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 CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • High Performance Computing: An Introduction (ONLINE LIVE TRAINING)

    2 - 3 February 2022

    Cambridge, United Kingdom

    Elixir node event
    High Performance Computing: An Introduction (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/high-performance-computing-an-introduction-online-live-training-46037bfd-5f77-4141-803e-45907f1ad3ee PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Have you heard about High Performance Computing, but are not sure what it is or whether it is relevant for your work? Would you like to use a HPC, but are not sure where to start? Are you using your personal computer to run computationally demanding tasks, which take long and slow down your work? Do you need to use software that runs on Linux, but don't have access to a Linux computer? If any of these questions apply to you, then this course might be for you! Knowing how to work on a High Performance Computing system is an essential skill for applications such as bioinformatics, big-data analysis, image processing, machine learning, parallelising tasks, and other high-throughput applications. In this course we will cover the basics of High Performance Computing, what it is and how you can use it in practice. This is a hands-on workshop, which should be accessible to researchers from a range of backgrounds and offering several opportunities to practice the skills we learn along the way. As an optional session for those interested, we will also introduce the (free) HPC facilities available at Cambridge University (the course is not otherwise Cambridge-specific). 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=4180583&course-title=High%20Performance%20Computing:%20An%20Introduction).'' 2022-02-02 09:30:00 UTC 2022-02-03 13:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] This course is aimed at students and researchers of any background.We assume no prior knowledge of what a HPC is or how to use it.It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING)

    4 - 18 February 2022

    Cambridge, United Kingdom

    Elixir node event
    Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/analysis-of-single-cell-rna-seq-data-online-live-training-9d66bd23-0447-4de0-a54d-d95f21b01073 PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging. In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq. 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=4178578&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2022-02-04 09:30:00 UTC 2022-02-18 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Transcriptomics Functional genomics Data visualisation Data mining 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 [] HDRUK
  • Using the Ensembl Genome Browser (ONLINE TRAINING)

    14 February 2022

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser (ONLINE TRAINING) https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-online-training-166825bf-fc84-4102-8b64-96fcb85a999e PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. 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=4164958&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2022-02-14 09:30:00 UTC 2022-02-14 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 [] HDRUK
  • Ensembl REST API workshop (ONLINE TRAINING)

    15 February 2022

    Cambridge, United Kingdom

    Elixir node event
    Ensembl REST API workshop (ONLINE TRAINING) https://tess.elixir-europe.org/events/ensembl-rest-api-workshop-online-training-347fb364-e55c-427d-aa82-c2929a2ddf67 PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. 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. 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=4164972&course-title=Ensembl%20REST%20API%20Workshop).'' 2022-02-15 09:30:00 UTC 2022-02-15 16:30:00 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
  • Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING)

    17 February - 3 March 2022

    Cambridge, United Kingdom

    Elixir node event
    Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/analysis-of-bulk-rna-seq-data-online-live-training-64a84e54-861b-4861-990d-8b73de4890f5 PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. The aim of this course is to familiarize the participants with the primary analysis of RNA-seq data. This course starts with a brief introduction to RNA-seq and discusses quality control issues. Next, we will present the alignment step, quantification of expression and differential expression analysis. For downstream analysis we will focus on tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq. 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=4180756&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2022-02-17 09:30:00 UTC 2022-03-03 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data mining Transcriptomics Data visualisation Functional genomics 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 [] HDRUK
  • Introduction to Statistical Analysis (Online)

    23 February 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Statistical Analysis (Online) https://tess.elixir-europe.org/events/introduction-to-statistical-analysis-online-695d6e9a-4ac9-453b-8865-fe8068815e57 PLEASE NOTE The Bioinformatics Team are presently teaching as many courses 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. This course provides a refresher on the foundations of statistical analysis. The emphasis is on interpreting the results of a statistical test, and being able to determine the correct test to apply. Practicals are conducted using a series of online apps, and we will not teach a particular statistical analysis package, such as R. For courses that teach R, please see the links under "Related courses" . This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at [CRUK Cambridge Institute](http://www.cruk.cam.ac.uk/). 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=4159857&course-title=Introduction%20to%20Statistical%20Analysis).'' 2022-02-23 09:30:00 UTC 2022-02-23 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 [] HDRUK
  • Introduction to Linear Modelling with R (Online)

    25 February 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Linear Modelling with R (Online) https://tess.elixir-europe.org/events/introduction-to-linear-modelling-with-r-online-b78aeaa3-7d8d-4e31-a2e7-e85eea1f2862 PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. The course will cover ANOVA, linear regression and some extensions. It will be a mixture of lectures and hands-on time using RStudio to analyse data. This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at [CRUK Cambridge Institute](http://www.cruk.cam.ac.uk/). 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=4159847&course-title=Introduction%20to%20Linear%20Modelling%20With%20R).'' 2022-02-25 09:30:00 UTC 2022-02-25 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] 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)

    25 February - 4 March 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to R for Biologists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-r-for-biologists-online-live-training-9c0bdceb-34bb-4958-a0af-eb101a01e239 The Bioinformatics Team are presently teaching as many courses 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. 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=4181652&course-title=Introduction%20to%20R%20for%20Biologists).'' 2022-02-25 09:30:00 UTC 2022-03-04 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 CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Core Statistics using R (ONLINE LIVE TRAINING)

    16 - 30 March 2022

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics using R (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/core-statistics-using-r-online-live-training-3e55d620-9735-4c0d-85d6-35111b4dc346 The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This [award winning](https://www.cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) virtually delivered 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. There are three core goals for this course: # Use R confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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=4180834&course-title=Core%20Statistics%20using%20R).'' 2022-03-16 09:30:00 UTC 2022-03-30 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 individualsThis course is included as part of several DTP and MPhil programmesas well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying. workshops_and_courses [] HDRUK
  • Introduction to R for Biologists (ONLINE LIVE TRAINING)

    4 - 6 May 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to R for Biologists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-r-for-biologists-online-live-training-9c3c7b80-562d-4453-8833-49eccff06f79 PLEASE NOTE that this course is currently NOT YET BOOKABLE. The course will be opened for bookings once the previous run of the course (see "Other dates" on left of this page) is full. If you have any queries please contact the [Bioinfo Team](https://training.csx.cam.ac.uk/bioinformatics/info/contact) The Bioinformatics Team are presently teaching as many courses 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. 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=4181683&course-title=Introduction%20to%20R%20for%20Biologists).'' 2022-05-04 08:30:00 UTC 2022-05-06 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
  • Core Statistics using R (ONLINE LIVE TRAINING)

    10 - 25 May 2022

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics using R (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/core-statistics-using-r-online-live-training-d9708606-8503-4ef6-9acc-2b5f5177b24d PLEASE NOTE that this course is currently NOT YET BOOKABLE. The course will be opened for bookings once the previous run of the course (see "Other dates" on left of this page) is full. If you have any queries please contact the [Bioinfo Team](https://training.csx.cam.ac.uk/bioinformatics/info/contact) The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This [award winning](https://www.cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) virtually delivered 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. There are three core goals for this course: # Use R confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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=4180943&course-title=Core%20Statistics%20using%20R).'' 2022-05-10 08:30:00 UTC 2022-05-25 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 individualsThis course is included as part of several DTP and MPhil programmesas well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying. workshops_and_courses [] HDRUK
  • Introduction to Python for Biologists (ONLINE LIVE TRAINING)

    10 - 18 May 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Python for Biologists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-python-for-biologists-online-live-training-3dc1ebb2-0558-47f0-bea0-60986748dff4 The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core concepts of Python including Python syntax, data structures and reading/writing files. These are illustrated by a series of example programs. Upon completion of the course, participants will be able to write simple Python programs. 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=4178934&course-title=Introduction%20to%20Python%20for%20Biologists).'' 2022-05-10 13:00:00 UTC 2022-05-18 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Python script 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
  • Introduction to R for Biologists (ONLINE LIVE TRAINING)

    15 - 23 June 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to R for Biologists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-r-for-biologists-online-live-training-c59887f9-3eb5-49fd-a124-dee8194ac81a PLEASE NOTE that this course is currently NOT YET BOOKABLE. The course will be opened for bookings once the previous run of the course (see "Other dates" on left of this page) is full. If you have any queries please contact the [Bioinfo Team](https://training.csx.cam.ac.uk/bioinformatics/info/contact) The Bioinformatics Team are presently teaching as many courses 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. 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=4178900&course-title=Introduction%20to%20R%20for%20Biologists).'' 2022-06-15 08:30:00 UTC 2022-06-23 12:00:00 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
  • Core Statistics using R (ONLINE LIVE TRAINING)

    29 June - 14 July 2022

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics using R (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/core-statistics-using-r-online-live-training-1bdf4c7a-2283-4160-b3e3-4a8e7385502d PLEASE NOTE that this course is currently NOT YET BOOKABLE. The course will be opened for bookings once the previous run of the course (see "Other dates" on left of this page) is full. If you have any queries please contact the [Bioinfo Team](https://training.csx.cam.ac.uk/bioinformatics/info/contact) The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This [award winning](https://www.cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) virtually delivered 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. There are three core goals for this course: # Use R confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. 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=4180988&course-title=Core%20Statistics%20using%20R).'' 2022-06-29 08:30:00 UTC 2022-07-14 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 individualsThis course is included as part of several DTP and MPhil programmesas well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying. workshops_and_courses [] HDRUK

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