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Country: United Kingdom 

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Keywords: HDRUK 

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  • An Introduction to Machine Learning (ONLINE LIVE TRAINING)

    27 - 29 January 2021

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-online-live-training-b94eb397-9e62-495c-ac6b-e349e9bc3af3 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. 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 subject to changes. 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=3732929&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2021-01-27 09:30:00 UTC 2021-01-29 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining 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
  • Data Science in Python (ONLINE LIVE TRAINING)

    4 - 5 February 2021

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/data-science-in-python-online-live-training-92b06b41-cb94-48f1-833e-dfa4bfba6a0d 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. 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=3740652&course-title=Data%20Science%20in%20Python).'' 2021-02-04 09:30:00 UTC 2021-02-05 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 [] HDRUK
  • Core Statistics (ONLINE LIVE TRAINING)

    8 - 24 February 2021

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/core-statistics-online-live-training PLEASE NOTE that this course will be taught live online, with tutors available to help you throughout if have any questions. All resources and lectures will be recorded and uploaded to the course VLE page so that you will be able to access that information even if technical or time zone restrictions means that you aren't able to join us for all of the live sessions. This [award winning](https://www.cambridge.org/core/cambridge-technology-enabled-learning-prize-2020) virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 or Python confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate Both R and Python are free software environments that are suitable for statistical and data analysis. 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 or Python 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=3753836&course-title=Core%20Statistics).'' 2021-02-08 14:00:00 UTC 2021-02-24 17:00:00 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 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
  • Using the Ensembl Genome Browser (ONLINE TRAINING)

    11 February 2021

    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 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 [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=3748710&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2021-02-11 09:30:00 UTC 2021-02-11 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
  • Introduction to Statistical Analysis (Online)

    12 February 2021

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Statistical Analysis (Online) https://tess.elixir-europe.org/events/introduction-to-statistical-analysis-online-3ed06002-f020-4ea1-af2d-687a12d6af92 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. 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=3730074&course-title=Introduction%20to%20Statistical%20Analysis).'' 2021-02-12 09:30:00 UTC 2021-02-12 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
  • Ensembl REST API workshop (ONLINE TRAINING)

    16 February 2021

    Cambridge, United Kingdom

    Elixir node event
    Ensembl REST API workshop (ONLINE TRAINING) https://tess.elixir-europe.org/events/ensembl-rest-api-workshop-online-training 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 [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=3748722&course-title=Ensembl%20REST%20API%20Workshop).'' 2021-02-16 09:30:00 UTC 2021-02-16 15:30:00 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
  • Introduction to R for Biologists (ONLINE LIVE TRAINING)

    22 - 23 February 2021

    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-13bb74a7-092b-4d95-8f6d-1de8cb67b474 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 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. 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=3732892&course-title=Introduction%20to%20R%20for%20Biologists).'' 2021-02-22 09:30:00 UTC 2021-02-23 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
  • An Introduction to Machine Learning (ONLINE LIVE TRAINING)

    8 - 10 March 2021

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-online-live-training-cb6fa31e-53e7-4e78-9ebb-ab470eb47192 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. 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 subject to changes. 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=3732957&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2021-03-08 09:30:00 UTC 2021-03-10 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining 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 Linear Modelling with R (Online)

    12 March 2021

    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 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=3730565&course-title=Introduction%20to%20Linear%20Modelling%20With%20R).'' 2021-03-12 09:45:00 UTC 2021-03-12 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
  • Extracting biological information from gene lists (ONLINE LIVE TRAINING)

    15 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Extracting biological information from gene lists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/extracting-biological-information-from-gene-lists-online-live-training-d0278754-5f41-4b1c-82e6-eadb23f9ca28 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 in conjunction with the presenters. 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). 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=3748734&course-title=Extracting%20biological%20information%20from%20gene%20lists).'' 2021-03-15 09:30:00 UTC 2021-03-15 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 [] HDRUK
  • Managing your Research Data (Online)

    19 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Managing your Research Data (Online) https://tess.elixir-europe.org/events/managing-your-research-data-online-5bc7a95c-ab27-40ca-b077-6cbed40277f1 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. How much data would you lose if your laptop was stolen? Have you ever emailed your colleague a file named 'final_final_versionEDITED'? Have you ever struggled to import your spreadsheets into R? Would you be able to write a Data Management Plan as part of a grant proposal? As a researcher, you will encounter research data in many forms, ranging from measurements, numbers and images to documents and publications. Whether you create, receive or collect data, you will certainly need to organise it at some stage of your project. This workshop will provide an overview of some basic principles on how we can work with data more effectively. We will discuss the best practices for research data management and organisation so that our research is auditable and reproducible by ourselves, and others, in the future. Course materials are available [here](https://datachampcam.github.io/avoid-data-disaster/) 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 your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3730088&course-title=Managing%20your%20Research%20Data).'' 2021-03-19 10:00:00 UTC 2021-03-19 16:00:00 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
  • Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING)

    22 - 24 March 2021

    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-ee05caa6-487f-4a18-b800-2dca60520065 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 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=3748780&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2021-03-22 09:30:00 UTC 2021-03-24 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq 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 Scientific Figure Design (ONLINE LIVE TRAINING)

    26 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Scientific Figure Design (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-scientific-figure-design-online-live-training-40c3cb6f-2b31-47af-a93c-5841e69e7d95 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 in conjunction with the presenters. 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=3748804&course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2021-03-26 09:30:00 UTC 2021-03-26 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 [] HDRUK
  • An Introduction to Solving Biological Problems with Python (ONLINE LIVE TRAINING)

    29 - 30 March 2021

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with Python (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-online-live-training-5128e676-3e0b-4560-8588-82a32afadf29 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. 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 or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3732841&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2021-03-29 08:30:00 UTC 2021-03-30 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 individuals workshops_and_courses [] HDRUK

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