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120 events found
Scientific topics: Gene structure or Biology or Transcriptomics
and
Keywords: Transcriptomics or • New developments in techn... or Single cell sequencing or reproduction or Clinical Bioinformatics or Galaxy or Healthcare or Containers or Translational research or HDRUK
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An Introduction to MATLAB for biologists
23 - 24 June 2016
Cambridge, United Kingdom
An Introduction to MATLAB for biologists http://training.csx.cam.ac.uk/bioinformatics/event/1619817 https://tess.elixir-europe.org/events/an-introduction-to-matlab-for-biologists-dfa68466-eb0e-4b57-9159-83dbf4735c0f 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://marstons.bio.cam.ac.uk/course-booking/?CourseID=An%20Introduction%20to%20MATLAB_bioinfo-MATLAB_23-24.06.2016_1619817&CourseName=An%20Introduction%20to%20MATLAB&CourseDate=23-24.06.2016&CourseDuration=2&EventID=1619817).'' 2016-06-23 08:30:00 UTC 2016-06-24 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 -
An Introduction to Solving Biological Problems with R
30 November - 1 December 2016
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with R http://training.csx.cam.ac.uk/bioinformatics/event/1819432 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-37214767-9608-4ad2-850f-bead6419ddd7 [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. Course materials are available [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=1819432&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2016-11-30 09:30:00 UTC 2016-12-01 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK -
An Introduction to Solving Biological Problems with Python
5 - 6 December 2016
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with Python http://training.csx.cam.ac.uk/bioinformatics/event/1882781 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-ab385204-c78b-4afc-a50e-aca917f410d1 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 from scratch and to customize more complex code to fit their needs. Course materials are available [here](http://pycam.github.io). 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=1882781&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2016-12-05 09:30:00 UTC 2016-12-06 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 -
Data Analysis and Visualisation in R
26 January 2017
Cambridge, United Kingdom
Data Analysis and Visualisation in R http://training.csx.cam.ac.uk/bioinformatics/event/1923726 https://tess.elixir-europe.org/events/data-analysis-and-visualisation-in-r-1adbe2a5-a87e-4e55-9322-3cb297a94d9a This course introduces some relatively new additions to the R programming language: dplyr and ggplot2. In combination these R packages provide a powerful toolkit to make the process of manipulating and visualising data easy and intuitive. Materials for this course can be found [here](http://bioinformatics-core-shared-training.github.io/r-intermediate/). 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=1923726&course-title=Data%20analysis%20and%20visualisation).'' 2017-01-26 09:30:00 UTC 2017-01-26 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Biology Bioinformatics University of Cambridge Bioinformatics Training [] Existing R users who are not familiar with dplyr and ggplot2Those with programming experience in other languages that want to know what R can offer themGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK -
EMBL-EBI: Transcriptomics Data and Tools
14 February 2017
Cambridge, United Kingdom
EMBL-EBI: Transcriptomics Data and Tools http://training.csx.cam.ac.uk/bioinformatics/event/1980346 https://tess.elixir-europe.org/events/embl-ebi-transcriptomics-data-and-tools-34d01da3-3912-495d-9ad6-a93fae207c1f This workshop will give an introduction to the functional genomics resources provided by EMBL-EBI and hands-on practical experience of searching and accessing appropriate data and information. The session will also cover data submission to [ArrayExpress](https://www.ebi.ac.uk/arrayexpress/) using Annotare. Also note: This event is part of a series of short introductions focusing on EMBL-EBI resources. If you want to learn more about these separate training events, see the Related Courses section below. 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=1980346&&course-title=EMBL-EBI:%20Transcriptomics%20Data%20and%20Tools).'' 2017-02-14 09:30:00 UTC 2017-02-14 13:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Gene expression Transcriptomics Bioinformatics University of Cambridge Bioinformatics Training [] This workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.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
21 - 22 February 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with Python http://training.csx.cam.ac.uk/bioinformatics/event/1923466 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-064b5cdf-2cff-4d8b-84bd-666c2e9aec72 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. Functions and modules are now the focus of a new 1-day course, [Python functions and modules: best practices](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-advpython/). 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=1923466&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2017-02-21 09:30:00 UTC 2017-02-22 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 -
An Introduction to Solving Biological Problems with R
23 - 24 February 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with R http://training.csx.cam.ac.uk/bioinformatics/event/1923690 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-0852fc6c-7989-4301-bb84-c5e0de7c941d This course provides an introduction to the R programming language and software environment for statistical computing and graphics. A variety of examples with a biological theme will be presented. The course website providing links to the course materials is [here](http://cambiotraining.github.io/r-intro/). 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=1923690&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2017-02-23 09:30:00 UTC 2017-02-24 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 -
Using the Ensembl Genome Browser
3 March 2017
Cambridge, United Kingdom
Using the Ensembl Genome Browser http://training.csx.cam.ac.uk/bioinformatics/event/1968864 https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-93225941-4ff0-4ea8-a58b-e80f50e1433b 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=1968864&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2017-03-03 09:30:00 UTC 2017-03-03 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 -
An Introduction to Solving Biological Problems with PERL
14 - 15 March 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with PERL http://training.csx.cam.ac.uk/bioinformatics/event/1923699 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-perl-60cd10cc-5270-445f-aa5d-21cc14013b3b This course is aimed at those new to programming and provides an introduction to programming using Perl. During this course you will learn the basics of the Perl programming language, including how to store data in Perl’s standard data structures such as arrays and hashes, and how to process data using loops, functions, and many of Perl’s built in operators. You will learn how to write and run your own Perl scripts and how to pass options and files to them. The course also covers sorting, regular expressions, references and multi-dimensional data structures. The course will be taught using the online [Learning Perl](http://sofiarobb.com/learning-perl-toc/) materials created by [Sofia Robb](http://stajich.bioinformatics.ucr.edu/members/sofia-robb) of the [University of California Riverside](http://www.ucr.edu/). The course website providing links to the course materials is [here](http://bit.ly/cambridgeperl). 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=1923699&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20PERL).'' 2017-03-14 09:30:00 UTC 2017-03-15 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 -
Analysis of single cell RNA-seq data
16 - 17 March 2017
Cambridge, United Kingdom
Analysis of single cell RNA-seq data http://training.csx.cam.ac.uk/bioinformatics/event/1923637 https://tess.elixir-europe.org/events/analysis-of-single-cell-rna-seq-data-0d696dc2-9a71-4101-9f84-9c3ac28b0eb5 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. The course website providing links to the course materials can be found [here](http://hemberg-lab.github.io/scRNA.seq.course/index.html). 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=1923637&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2017-03-16 09:30:00 UTC 2017-03-17 17:00:00 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 -
Python functions and modules: best practices
27 March 2017
Cambridge, United Kingdom
Python functions and modules: best practices http://training.csx.cam.ac.uk/bioinformatics/event/2032674 https://tess.elixir-europe.org/events/python-functions-and-modules-best-practices This course will cover concepts and strategies for working more effectively with Python with the aim of writing reusable code. In the morning session, we will briefly go over the basic syntax, data structures and control statements. This will be followed by an introduction to writing user-defined functions. We will finish the course by looking into how to incorporate existing Python modules and packages into your programs as well as writing you own modules. Note: this one-day 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=2032674&course-title=Python%20functions%20and%20modules:%20best%20practices).'' 2017-03-27 08:30:00 UTC 2017-03-27 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 -
Introduction to high-throughput sequencing data analysis
28 - 31 March 2017
Cambridge, United Kingdom
Introduction to high-throughput sequencing data analysis http://training.csx.cam.ac.uk/bioinformatics/event/1983575 https://tess.elixir-europe.org/events/introduction-to-high-throughput-sequencing-data-analysis This course provides an introduction to high-throughput sequencing (HTS) data analysis methodologies. Lectures will give insight into how biological knowledge can be generated from RNA-seq, ChIP-seq and DNA-seq experiments and illustrate different ways of analyzing such data. Practicals will consist of computer exercises that will enable the participants to apply statistical methods to the analysis of RNA-seq, ChIP-seq and DNA-seq data under the guidance of the lecturers and teaching assistants. It is aimed at researchers who are applying or planning to apply HTS technologies and bioinformatics methods in their research. 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=1983575&course-title=Introduction%20to%20high-throughput%20sequencing%20data%20analysis).'' 2017-03-28 08:30:00 UTC 2017-03-31 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Transcriptomics Functional genomics Epigenomics Data visualisation Data mining ChIP-seq 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 R
6 - 7 April 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with R http://training.csx.cam.ac.uk/bioinformatics/event/1923615 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-c3d9d378-9c86-471d-8d18-f694d34dac47 [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=1923615&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2017-04-06 08:30:00 UTC 2017-04-07 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 42 workshops_and_courses first_come_first_served HDRUK -
An Introduction to Solving Biological Problems with Python
10 - 11 April 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with Python http://training.csx.cam.ac.uk/bioinformatics/event/1923495 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-fffd2c69-03a4-437c-a37b-273a16052c4d 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. Functions and modules are now the focus of a new 1-day course, [Python functions and modules: best practices](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-advpython/). 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=1923495&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2017-04-10 08:30:00 UTC 2017-04-11 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 42 workshops_and_courses first_come_first_served HDRUK -
Working with Python: functions and modules
28 April 2017
Cambridge, United Kingdom
Working with Python: functions and modules http://training.csx.cam.ac.uk/bioinformatics/event/2052485 https://tess.elixir-europe.org/events/python-functions-and-modules-best-practices-f9354fa0-5c1c-4fd8-b419-5135dc6c1911 This course will cover concepts and strategies for working more effectively with Python with the aim of writing reusable code. In the morning session, we will briefly go over the basic syntax, data structures and control statements. This will be followed by an introduction to writing user-defined functions. We will finish the course by looking into how to incorporate existing python modules and packages into your programs as well as writing you own modules. Course materials can be found [here](https://github.com/pycam/python-functions-and-modules/blob/master/python_fm_intro.ipynb). Note: this one-day 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=2052485&course-title=Working%20with%20Python:%20functions%20and%20modules).'' 2017-04-28 08:30:00 UTC 2017-04-28 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 42 workshops_and_courses first_come_first_served HDRUK -
An Introduction to MATLAB for biologists
15 - 16 May 2017
Cambridge, United Kingdom
An Introduction to MATLAB for biologists http://training.csx.cam.ac.uk/bioinformatics/event/2059297 https://tess.elixir-europe.org/events/an-introduction-to-matlab-for-biologists-f9f1a53a-cab4-41af-8dae-92de64943dad 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=2059297&&course-title=An%20Introduction%20to%20MATLAB).'' 2017-05-15 08:30:00 UTC 2017-05-16 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 42 workshops_and_courses first_come_first_served HDRUK -
An Introduction to Solving Biological Problems with Python
12 - 13 June 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with Python http://training.csx.cam.ac.uk/bioinformatics/event/1923528 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-16ebbfda-127b-40ce-899f-7830460128fb 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. Functions and modules are now the focus of a new 1-day course, [Working with Python: functions and modules](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-advpython/). 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=1923528&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2017-06-12 08:30:00 UTC 2017-06-13 16:00:00 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 [] 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 R
15 - 16 June 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with R http://training.csx.cam.ac.uk/bioinformatics/event/1923763 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-0bbd7f39-46c7-467a-bcb4-c15314dec2c4 [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=1923763&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2017-06-15 08:30:00 UTC 2017-06-16 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 -
Working with Python: functions and modules
21 June 2017
Cambridge, United Kingdom
Working with Python: functions and modules http://training.csx.cam.ac.uk/bioinformatics/event/2052492 https://tess.elixir-europe.org/events/working-with-python-functions-and-modules This course will cover concepts and strategies for working more effectively with Python with the aim of writing reusable code. In the morning session, we will briefly go over the basic syntax, data structures and control statements. This will be followed by an introduction to writing user-defined functions. We will finish the course by looking into how to incorporate existing python modules and packages into your programs as well as writing you own modules. Course materials can be found [here](https://github.com/pycam/python-functions-and-modules/blob/master/python_fm_intro.ipynb). Note: this one-day 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=2052492&course-title=Working%20with%20Python:%2functions%20and%20modules).'' 2017-06-21 08:30:00 UTC 2017-06-21 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 -
Introduction to RNA-seq and ChIP-seq data analysis
22 - 23 June 2017
Cambridge, United Kingdom
Introduction to RNA-seq and ChIP-seq data analysis http://training.csx.cam.ac.uk/bioinformatics/event/2017446 https://tess.elixir-europe.org/events/introduction-to-rna-seq-and-chip-seq-data-analysis-83b4f656-ef26-441e-b0ef-f990e78de471 The aim of this course is to familiarize the participants with the primary analysis of datasets generated through two popular high-throughput sequencing (HTS) assays: ChIP-seq and RNA-seq. This course starts with a brief introduction to the transition from capillary to high-throughput sequencing (HTS) and discusses quality control issues, which are common among all HTS datasets. Next, we will present the alignment step and how it differs between the two analysis workflows. Finally, we focus on dataset specific downstream analysis, including peak calling and motif analysis for ChIP-seq and quantification of expression, transcriptome assembly and differential expression analysis for 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=2017446&course-title=Introduction%20to%20RNA-seq%20and%20ChIP-seq%20data%20analysis).'' 2017-06-22 08:30:00 UTC 2017-06-23 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR ChIP-seq Data mining Transcriptomics Data visualisation Functional genomics Epigenomics Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals 42 workshops_and_courses first_come_first_served HDRUK -
An Introduction to Solving Biological Problems with R
4 - 5 September 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with R http://training.csx.cam.ac.uk/bioinformatics/event/2168456 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-1c7b5c97-54de-41e9-beed-63a37c95f0cf [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=2168456&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2017-09-04 08:30:00 UTC 2017-09-05 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 -
Data Analysis and Visualisation in R
6 September 2017
Cambridge, United Kingdom
Data Analysis and Visualisation in R http://training.csx.cam.ac.uk/bioinformatics/event/2166235 https://tess.elixir-europe.org/events/data-analysis-and-visualisation-in-r This course introduces some relatively new additions to the R programming language: dplyr and ggplot2. In combination these R packages provide a powerful toolkit to make the process of manipulating and visualising data easy and intuitive. Materials for this course can be found [here](http://bioinformatics-core-shared-training.github.io/r-intermediate/). 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=2166235&course-title=Data%20analysis%20and%20visualisation).'' 2017-09-06 08:30:00 UTC 2017-09-06 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Biology Bioinformatics University of Cambridge Bioinformatics Training [] Existing R users who are not familiar with dplyr and ggplot2Those with programming experience in other languages that want to know what R can offer themGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK -
Using the Ensembl Genome Browser
8 September 2017
Cambridge, United Kingdom
Using the Ensembl Genome Browser http://training.csx.cam.ac.uk/bioinformatics/event/2195183 https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-78c9c268-5a46-4613-a3bd-3cb535de682a 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=2195183&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2017-09-08 08:30:00 UTC 2017-09-08 16:30:00 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 -
An Introduction to Solving Biological Problems with Python
14 - 15 September 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with Python http://training.csx.cam.ac.uk/bioinformatics/event/2168445 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-12df7bf0-ee40-4981-b23a-7049eaa61d8a 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. Functions and modules are now the focus of a new 1-day course, [Working with Python: functions and modules](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-advpython/). 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=2168445&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2017-09-14 08:30:00 UTC 2017-09-15 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 -
Working with Python: functions and modules
12 October 2017
Cambridge, United Kingdom
Working with Python: functions and modules http://training.csx.cam.ac.uk/bioinformatics/event/2168523 https://tess.elixir-europe.org/events/working-with-python-functions-and-modules-d1aeb266-8906-4893-b681-7bd8e7e5e112 This course will cover concepts and strategies for working more effectively with Python with the aim of writing reusable code. In the morning session, we will briefly go over the basic syntax, data structures and control statements. This will be followed by an introduction to writing user-defined functions. We will finish the course by looking into how to incorporate existing python modules and packages into your programs as well as writing you own modules. Course materials can be found [here](https://github.com/pycam/python-functions-and-modules/blob/master/python_fm_intro.ipynb). Note: this one-day 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=2168523&course-title=Working%20with%20Python:%20functions%20and%20modules).'' 2017-10-12 08:30:00 UTC 2017-10-12 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 -
Introduction to RNA-seq and ChIP-seq data analysis
25 - 26 October 2017
Cambridge, United Kingdom
Introduction to RNA-seq and ChIP-seq data analysis http://training.csx.cam.ac.uk/bioinformatics/event/2197137 https://tess.elixir-europe.org/events/introduction-to-rna-seq-and-chip-seq-data-analysis-ee3e83c6-b331-43d9-822f-d4e4f865bd8f The aim of this course is to familiarize the participants with the primary analysis of datasets generated through two popular high-throughput sequencing (HTS) assays: ChIP-seq and RNA-seq. This course starts with a brief introduction to the transition from capillary to high-throughput sequencing (HTS) and discusses quality control issues, which are common among all HTS datasets. Next, we will present the alignment step and how it differs between the two analysis workflows. Finally, we focus on dataset specific downstream analysis, including peak calling and motif analysis for ChIP-seq and quantification of expression, transcriptome assembly and differential expression analysis for 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=2197137&course-title=Introduction%20to%20RNA-seq%20and%20ChIP-seq%20data%20analysis).'' 2017-10-25 08:30:00 UTC 2017-10-26 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR ChIP-seq Data mining Transcriptomics Data visualisation Functional genomics Epigenomics 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 single cell RNA-seq data
31 October - 1 November 2017
Cambridge, United Kingdom
Analysis of single cell RNA-seq data http://training.csx.cam.ac.uk/bioinformatics/event/2184854 https://tess.elixir-europe.org/events/analysis-of-single-cell-rna-seq-data 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. The course website providing links to the course materials can be found [here](http://hemberg-lab.github.io/scRNA.seq.course/index.html). The training room is located on the first floor and there is currently no wheelchair access 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 by clicking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2184854&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2017-10-31 09:30:00 UTC 2017-11-01 17:00:00 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 -
An Introduction to Solving Biological Problems with Python
23 - 24 November 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with Python http://training.csx.cam.ac.uk/bioinformatics/event/2234811 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-696dcf47-7d21-4167-9a30-c09287c52449 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. Functions and modules are now the focus of a new 1-day course, [Working with Python: functions and modules](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-advpython/). 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=2234811&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2017-11-23 09:30:00 UTC 2017-11-24 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 -
An Introduction to Solving Biological Problems with R
27 - 28 November 2017
Cambridge, United Kingdom
An Introduction to Solving Biological Problems with R http://training.csx.cam.ac.uk/bioinformatics/event/2234782 https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-r-c9e2ef7f-f8fc-4a00-884a-ee4d447889d4 [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=2234782&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2017-11-27 09:30:00 UTC 2017-11-28 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK -
Data Analysis and Visualisation in R
29 November 2017
Cambridge, United Kingdom
Data Analysis and Visualisation in R http://training.csx.cam.ac.uk/bioinformatics/event/2234798 https://tess.elixir-europe.org/events/data-analysis-and-visualisation-in-r-b863b75f-7946-4592-8e90-37151db13759 This course introduces some relatively new additions to the R programming language: dplyr and ggplot2. In combination these R packages provide a powerful toolkit to make the process of manipulating and visualising data easy and intuitive. Materials for this course can be found [here](http://bioinformatics-core-shared-training.github.io/r-intermediate/). 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=2234798&course-title=Data%20analysis%20and%20visualisation).'' 2017-11-29 09:30:00 UTC 2017-11-29 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Biology Bioinformatics University of Cambridge Bioinformatics Training [] Existing R users who are not familiar with dplyr and ggplot2Those with programming experience in other languages that want to know what R can offer themGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
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