University of Cambridge Bioinformatics Training

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

University of Cambridge Bioinformatics Training https://tess.oerc.ox.ac.uk/content_providers/university-of-cambridge-bioinformatics-training We offer a broad range of undergraduate and postgraduate hands-on training courses focused on bioinformatics and computational biology. These training activities aim at enabling life scientists to effectively handle and interpret biological data. /system/content_providers/images/000/000/047/original/logo.png?1518085071
Found 0 materials.
Showing 22 upcoming events. Found 227 past events. View all results.
  • Working with Python: functions and modules

    5 April 2018

    Cambridge, United Kingdom

    Working with Python: functions and modules https://tess.oerc.ox.ac.uk/events/working-with-python-functions-and-modules-ba7d14d1-5cb4-4caf-bd55-b11534713e0e 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=2406617&course-title=Working%20with%20Python:%20functions%20and%20modules).'' 2018-04-05 08:30:00 UTC 2018-04-05 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 [] []
  • Basic statistics and data handling

    28 February - 2 March 2018

    Cambridge, United Kingdom

    Basic statistics and data handling https://tess.oerc.ox.ac.uk/events/basic-statistics-and-data-handling-ad7ad935-9ede-4565-b0a6-eacc932c1eb5 This three day course is intended to open doors to applying statistics - whether directly increasing skills and personally undertaking analyses, or by expanding knowledge towards identifying collaborators. The end goal is to drive confident engagement with data analysis and further training - increasing the quality and reliability of interpretation, and putting that interpretation and subsequent presentation into the hands of the researcher. Each day of the course will deliver a mixture of lectures, workshops and hands-on practicals – and will focus on the following specific elements. Day 1 focuses on basic approaches and the computer skills required to do downstream analysis. Covering: Basic skills for data manipulation in R. How to prepare your data effectively. Principles of experimental design and how this influences analysis. On day 2, participants will explore the core concepts of statistics – so that they can begin to see how they can be applied to their own work, and to also help with better critical evaluation of the work of others. Covering: Basic statistics concepts and practice: power, variability, false discovery, t-test, effect size, simulations to understand what a p-value means. On day 3 we will continue to explore core concepts of statistics, focusing on linear regression and multiple testing correction. Course materials are available [here](https://github.com/cambiotraining/stats-intro). This event is supported by a BBSRC Strategic Training Awards for Research Skills (STARS) grant. 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=2235484&course-title=Basic%20statistics%20and%20data%20handling).'' 2018-02-28 09:30:00 UTC 2018-03-02 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 The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statisticsbut who have not perhaps put this into practice since.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • EMBL-EBI: Introduction to Interpro

    27 February 2018

    Cambridge, United Kingdom

    EMBL-EBI: Introduction to Interpro https://tess.oerc.ox.ac.uk/events/embl-ebi-introduction-to-interpro-9b543283-0154-4413-aed2-d6c0cd81e040 Employ InterPro to help you answer your research questions! This workshop will help you find out why there is a need to automatically annotate proteins, how protein family databases can help meet this challenge, and how [InterPro](http://www.ebi.ac.uk/interpro) pulls together a number of such databases, allowing you to classify unknown protein sequences and identify their function. The module is a combination of presentations and hands-on practical exercises. You will explore the various features of an InterPro entry, and design a workflow to utilise InterPro in the analysis of real world data. 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|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=2239008&course-title=EMBL-EBI:%20Introduction%20to%20Interpro).'' 2018-02-27 09:00:00 UTC 2018-02-27 12:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training This module is suitable for researchers who wish to know more about the InterPro resourceGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • MSt in Genomic Medicine - Advanced bioinformatics

    19 - 23 March 2018

    Cambridge, United Kingdom

    MSt in Genomic Medicine - Advanced bioinformatics https://tess.oerc.ox.ac.uk/events/mst-in-genomic-medicine-advanced-bioinformatics-0d4e7c15-cb0f-42ee-8adc-fcc02dcaa17c 2018-03-19 09:30:00 UTC 2018-03-23 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 [] []
  • Data Analysis and Visualisation in R

    23 May 2018

    Cambridge, United Kingdom

    Data Analysis and Visualisation in R https://tess.oerc.ox.ac.uk/events/data-analysis-and-visualisation-in-r-8a532e47-7341-42f5-be02-8b0d33e5667e 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=2427471&course-title=Data%20analysis%20and%20visualisation).'' 2018-05-23 08:30:00 UTC 2018-05-23 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 [] []
  • Molecular Phylogenetics

    18 - 20 April 2018

    Cambridge, United Kingdom

    Molecular Phylogenetics https://tess.oerc.ox.ac.uk/events/molecular-phylogenetics-d6c445d2-7509-40a8-a447-7ba05a691e7f This course will provide training for bench-based biologists to use molecular data to construct and interpret phylogenies, and test their hypotheses. Delegates will gain hands-on practice of using a variety of programs freely-available online and commonly used in molecular studies, interspersed with some lectures. 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=2383393&course-title=Molecular%20Phylogenetics).'' 2018-04-18 08:00:00 UTC 2018-04-20 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Phylogenetics 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 [] []
  • An Introduction to Machine Learning

    1 - 2 May 2018

    Cambridge, United Kingdom

    An Introduction to Machine Learning https://tess.oerc.ox.ac.uk/events/an-introduction-to-machine-learning-b799e0ed-c9c3-4b20-a726-7d5f77e71c3e Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment. Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes. 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=2386028&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2018-05-01 08:30:00 UTC 2018-05-02 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining Bioinformatics University of Cambridge Bioinformatics Training This introductory course is aimed at biologists with little or no experience in machine learning.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Statistical Analysis using R

    16 May 2018

    Cambridge, United Kingdom

    Statistical Analysis using R https://tess.oerc.ox.ac.uk/events/statistical-analysis-using-r-9dd83e82-7396-471c-b35e-968484ff566f Statistics are an important part of most modern studies and being able to effectively use a statistical package will help you to understand your results. This course provides an introduction to some statistical techniques through the use of the R language. Topics covered include: Chi2 and Fisher tests, descriptive statistics, t-test, analysis of variance and regression. Students will run analyses using statistical and graphical skills taught during the session. The course manual can be found [here](https://www.bioinformatics.babraham.ac.uk/training/R_Statistics/Introduction%20to%20Statistics%20with%20R%20manual.pdf). 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=2426604&&course-title=Statistical%20analysis%20using%20R).'' 2018-05-16 08:30:00 UTC 2018-05-16 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 Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • An introduction to metabolomics and its application in life-sciences

    2 - 3 July 2018

    Cambridge, United Kingdom

    An introduction to metabolomics and its application in life-sciences https://tess.oerc.ox.ac.uk/events/an-introduction-to-metabolomics-and-its-application-in-life-sciences-68bd75bc-c763-4e00-8220-c117c26a0d16 The goal of metabolomics is to identify and quantify the complete biochemical composition of a biological sample. With the increase in genomic, transcriptomic and proteomic information there is a growing need to understand the metabolic phenotype that these genes and proteins ultimately control. The aim of this course is to provide an overview of metabolomics and its applications in life sciences, clinical and environmental settings. Over 2 days we will introduce different techniques used to extract metabolites and analyse samples to collect metabolomic data (such as HPLC or GC-based MS and NMR), present how to analyse such data, how to identify metabolites using online databases and how to map the metabolomic data to metabolic pathways. The course content will predominantly be based on analysing samples from model plant species such as Arabidopsis thaliana but the procedures are transferable to all other organisms, including clinical and environmental settings. 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=2463063&course-title=An%20introduction%20to%20metabolomics%20and%20its%20application%20in%20life-sciences).'' 2018-07-02 08:30:00 UTC 2018-07-03 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Metabolomics Data visualisation Bioinformatics University of Cambridge Bioinformatics Training This course is aimed at researchers with an interest in metabolomics and its applicationsGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Introduction to using the Ensembl Genome Browser

    12 March 2018

    Cambridge, United Kingdom

    Introduction to using the Ensembl Genome Browser https://tess.oerc.ox.ac.uk/events/introduction-to-using-the-ensembl-genome-browser 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=2279657&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2018-03-12 09:30:00 UTC 2018-03-12 12:30:00 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 [] []
  • Protein Structure Analysis

    24 - 25 May 2018

    Cambridge, United Kingdom

    Protein Structure Analysis https://tess.oerc.ox.ac.uk/events/protein-structure-analysis-b0043b44-4be7-47f1-99a8-515214228214 This course covers data resources and analytical approaches for the discovery and interpretation of biomacromolecular structures. Day 1 focuses on public repositories of structural data ([Protein Data Bank](http://www.ebi.ac.uk/pdbe/) and [Electron Microscopy Data Bank](https://www.ebi.ac.uk/pdbe/emdb/)) and resources for protein analysis and classification ([Pfam](http://pfam.xfam.org/), [InterPro](https://www.ebi.ac.uk/interpro/) and [HMMER](https://www.ebi.ac.uk/Tools/hmmer)). Day 2 covers how to find information about the structure and function of your protein sequence using [CATH](http://www.cathdb.info/), principles of modern state-of-the-art protein modelling with [ Phyre2](http://www.sbg.bio.ic.ac.uk/phyre2/) and methods for predicting the effects of mutations on protein structure and function using the [SAAP family of tools](http://www.bioinf.org.uk/saap/). 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=2419336&course-title=Protein%20Structure%20Analysis).'' 2018-05-24 08:30:00 UTC 2018-05-25 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Protein structure analysis 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 [] []
  • Analysis of RNA-seq data with Bioconductor

    28 - 29 March 2018

    Cambridge, United Kingdom

    Analysis of RNA-seq data with Bioconductor https://tess.oerc.ox.ac.uk/events/analysis-of-rna-seq-data-with-bioconductor-38a490c5-76a5-4f17-984a-fec5535284b6 This course provides an introduction to the tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq data. We will present a workflow for the analysis RNA-seq data starting from aligned reads in bam format and producing a list of differentially-expressed genes. We will also describe the various resources available through Bioconductor to annotate, visualise and gain biological insight from the differential expression results. 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=2383159&course-title=Analysis%20of%20RNA-seq%20data%20with%20Bioconductor).'' 2018-03-28 08:30:00 UTC 2018-03-29 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 [] []
  • Data Carpentry in R

    16 - 17 April 2018

    Cambridge, United Kingdom

    Data Carpentry in R https://tess.oerc.ox.ac.uk/events/data-carpentry-in-r In many domains of research the rapid generation of large amounts of data is fundamentally changing how research is done. The deluge of data presents great opportunities, but also many challenges in managing, analyzing and sharing data. Data Carpentry workshops are designed to teach basic concepts, skills and tools for working more effectively with data, using a combination of tools with a main focus in R. The workshop is aimed at researchers in the life sciences at all career stages and is designed for learners with little to no prior knowledge of programming, shell scripting, or command line tools. This course is organized in collaboration with [ElixirUK](http://www.elixir-uk.org/) and the [Software Sustainability Institute](https://www.software.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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2412722&course-title=Data%20Carpentry%20in%20R).'' 2018-04-16 08:30:00 UTC 2018-04-17 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 Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Analysis of DNA Methylation using Sequencing

    27 June 2018

    Cambridge, United Kingdom

    Analysis of DNA Methylation using Sequencing https://tess.oerc.ox.ac.uk/events/analysis-of-dna-methylation-using-sequencing-cccf3709-19f2-41c3-b288-16192da12eff This course will cover all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications. It will also include exploratory analysis of methylation, looking at different methods of quantitation, and a variety of ways of looking more widely at the distribution of methylation over the genome. Finally the course will look at statistical methods to predict differential methylation. The course will be comprised of a mixture of theoretical lectures and practicals covering a range of different software packages. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2426618&course-title=Analysis%20of%20DNA%20Methylation%20using%20Sequencing).'' 2018-06-27 08:30:00 UTC 2018-06-27 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Epigenetics Data visualisation Bioinformatics University of Cambridge Bioinformatics Training Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Big Data and Cloud Computing

    1 June 2018

    Cambridge, United Kingdom

    Big Data and Cloud Computing https://tess.oerc.ox.ac.uk/events/big-data-and-cloud-computing Recent advances in genomics, proteomics, imaging and other technologies, have resulted in data being generated at a faster rate than they can be meaningfully analysed. In this course we will show you how cloud computing can be used to meet the challenges of storage, management and analysis of big data. The first half of the course will introduce cloud infrastructure technologies. The second half will cover tools for collaborative working, resource management, and creation of workflows. The instructors will demonstrate how they are using cloud computing in their own research. N.B. If you sign up for this course, you will be automatically registered for an [AWS educate account](https://aws.amazon.com/education/awseducate/), which will provide you with sufficient AWS credits to complete the course exercises. If you decide to continue using cloud computing after the course, you will need to either purchase more credits or apply for a grant from programs like: [AWS Cloud Credits for Research](https://aws.amazon.com/research-credits/), [Microsoft Azure for Research](https://www.microsoft.com/en-us/research/academic-program/microsoft-azure-for-research/) or [Google Cloud Platform Education Grants](https://cloud.google.com/edu/). 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=2473649&course-title=Big%20Data%20and%20Cloud%20Computing).'' 2018-06-01 08:30:00 UTC 2018-06-01 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Workflows Bioinformatics University of Cambridge Bioinformatics Training Researchers in the life sciences with little or no experience of cloud computing.Researchers from other disciplines may find the course usefulbut should be aware that biological data will be used in some of the examples and exercises.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • An Introduction to Solving Biological Problems with Python

    15 - 16 March 2018

    Cambridge, United Kingdom

    An Introduction to Solving Biological Problems with Python https://tess.oerc.ox.ac.uk/events/an-introduction-to-solving-biological-problems-with-python-87a4b4da-0604-47d5-8431-3791a59bfb42 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=2383032&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2018-03-15 09:30:00 UTC 2018-03-16 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 [] []
  • EMBL-EBI: Interactions & Pathways

    13 March 2018

    Cambridge, United Kingdom

    EMBL-EBI: Interactions & Pathways https://tess.oerc.ox.ac.uk/events/embl-ebi-interactions-pathways This workshop is aimed at giving life scientists training on how to explore and use protein interaction and pathway bioinformatics resources. This course looks at the data repositories, resources and tools available and shows attendees how to both find information on a single molecule and how to build high-quality networks to enable network analysis. 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|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=2317043&course-title=EMBL-EBI:%20Interactions%20and%20Pathways).'' 2018-03-13 09:30:00 UTC 2018-03-13 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 The module is suitable for PhD students and PostDocs looking to build networks prior to ‘omics data analysisor to better understand the biology of their favourite genes or proteinsGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Introduction to Scientific Figure Design

    13 June 2018

    Cambridge, United Kingdom

    Introduction to Scientific Figure Design https://tess.oerc.ox.ac.uk/events/introduction-to-scientific-figure-design-0b0e25d9-590c-426e-b672-934a3c76446d 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=2426612&course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2018-06-13 08:30:00 UTC 2018-06-13 16:30:00 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 [] []
  • R object-oriented programming and package development

    6 July 2018

    Cambridge, United Kingdom

    R object-oriented programming and package development https://tess.oerc.ox.ac.uk/events/r-object-oriented-programming-and-package-development-7ddc16b5-04bb-4bff-b0b6-89cbc9f1bd0d The course will teach intermediate R object-oriented programming and how to build a fully functional R package. The [course page](http://logic.sysbiol.cam.ac.uk/teaching/advancedR/) includes slides and handouts; other relevant teaching materials are available [here](http://lgatto.github.io/TeachingMaterial/) and the sequences example package used as template in the course can be found [here](http://cran.r-project.org/web/packages/sequences/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 or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2480552&course-title=R%20object-oriented%20programming%20and%20package%20development).'' 2018-07-06 08:30:00 UTC 2018-07-06 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Software engineering 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 [] []
  • EMBL-EBI: Network Analysis with Cytoscape and PSICQUIC

    14 March 2018

    Cambridge, United Kingdom

    EMBL-EBI: Network Analysis with Cytoscape and PSICQUIC https://tess.oerc.ox.ac.uk/events/embl-ebi-network-analysis-with-cytoscape-and-psicquic-253b596a-3e14-422f-98c5-978252fa53f6 This module provides an introduction to the theory and concepts of network analysis. Attendees will learn how to construct protein-protein interaction networks and subsequently use these to analyse large-scale datasets generated these to by techniques such as RNA-Seq or mass-spec proteomics. The course will focus on giving attendees hands-on experience in the use of Cytoscape and selected network analysis apps. 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|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=2238825&course-title=EMBL-EBI:%20Network%20Analysis%20with%20Cytoscape%20and%20PSICQUIC).'' 2018-03-14 09:30:00 UTC 2018-03-14 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 This workshop is aimed at researchers interested in proteinsnetwork analysisprotein-protein interactions and related areasGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • An Introduction to Solving Biological Problems with R

    26 - 27 March 2018

    Cambridge, United Kingdom

    An Introduction to Solving Biological Problems with R https://tess.oerc.ox.ac.uk/events/an-introduction-to-solving-biological-problems-with-r-bda63fe2-b7ed-43b5-a4d7-987ca9b7f231 [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=2383084&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20R).'' 2018-03-26 08:30:00 UTC 2018-03-27 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 [] []
  • Variant Analysis with GATK

    16 - 19 July 2018

    Cambridge, United Kingdom

    Variant Analysis with GATK https://tess.oerc.ox.ac.uk/events/variant-analysis-with-gatk-28b73306-8765-4aca-b5f6-f7d4595de8db This workshop will focus on the core steps involved in calling variants with the [Broad’s Genome Analysis Toolkit](https://www.broadinstitute.org/gatk/), using the “Best Practices” developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset. In the course of this workshop, we highlight key functionalities such as the germline GVCF workflow for joint variant discovery in cohorts, somatic variant discovery using MuTect2, and copy number variation discovery using GATK-CNV. All analyses are demonstrated using GATK version 4. Finally, we demonstrate the use of pipelining tools to assemble and execute GATK workflows. The workshop covers basic genomics, all currently supported Best Practices pipelines as well as pipelining with WDL/Cromwell/FireCloud. This includes the logic of the major pipelines, file formats and data transformations involved, and hands-on operation of the tools using goal-oriented exercises. *Day 1: Introduction to Genomics, GATK Best Practices and Pipelining *Day 2: Germline short variant discovery (SNPs + Indels) *Day 3: Somatic variant discovery (SNVs + Indels + CNVs) *Day 4: Writing pipelines with WDL and running them in FireCloud Please note that this workshop is focused on human data analysis. The majority of the materials presented does apply equally to non-human data, and we will address some questions regarding adaptations that are needed for analysis of non-human data, but we will not go into much detail on those points. 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=2483603&course-title=Variant%20Analysis%20with%20GATK).'' 2018-07-16 08:30:00 UTC 2018-07-19 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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 [] []
Ajax loader