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.

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  • An Introduction to Machine Learning

    28 - 29 September 2017

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.oerc.ox.ac.uk/events/an-introduction-to-machine-learning 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 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=2116325&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2017-09-28 08:30:00 UTC 2017-09-29 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Data Carpentry

    11 - 12 September 2017

    Cambridge, United Kingdom

    Elixir node event
    Data Carpentry https://tess.oerc.ox.ac.uk/events/data-carpentry 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. 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=2066702&course-title=Data%20Carpentry).'' 2017-09-11 08:30:00 UTC 2017-09-12 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 [] []
  • Introduction to Scientific Figure Design

    6 October 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Scientific Figure Design https://tess.oerc.ox.ac.uk/events/introduction-to-scientific-figure-design-3a71c003-c118-466d-aadc-1c9348ec0dd2 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=2193694&course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2017-10-06 08:30:00 UTC 2017-10-06 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Basic statistics and data handling

    30 August - 1 September 2017

    Cambridge, United Kingdom

    Elixir node event
    Basic statistics and data handling https://tess.oerc.ox.ac.uk/events/basic-statistics-and-data-handling-8a4449a6-33be-4598-8d78-ae55b20ace10 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=2156934&course-title=Basic%20statistics%20and%20data%20handling).'' 2017-08-30 08:30:00 UTC 2017-09-01 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 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 [] []
  • Analysis of DNA Methylation using Sequencing

    15 November 2017

    Cambridge, United Kingdom

    Elixir node event
    Analysis of DNA Methylation using Sequencing https://tess.oerc.ox.ac.uk/events/analysis-of-dna-methylation-using-sequencing-d1ffe8df-0059-4b5e-8f22-c4123bfe9d0a 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=2168507&course-title=Analysis%20of%20DNA%20Methylation%20using%20Sequencing).'' 2017-11-15 09:30:00 UTC 2017-11-15 17:30:00 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Statistical Analysis using R

    13 September 2017

    Cambridge, United Kingdom

    Elixir node event
    Statistical Analysis using R https://tess.oerc.ox.ac.uk/events/statistical-analysis-using-r-8cb9a516-289c-41f9-a143-af03066cc08b 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](http://www.bioinformatics.babraham.ac.uk/training/R_Statistics/Introduction%20to%20Statistics%20with%20R.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=2168489&&course-title=Statistical%20analysis%20using%20R).'' 2017-09-13 08:30:00 UTC 2017-09-13 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • An Introduction to Solving Biological Problems with Python

    14 - 15 September 2017

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with Python https://tess.oerc.ox.ac.uk/events/an-introduction-to-solving-biological-problems-with-python-3828d2e1-921b-4036-95cb-7cedbdf80908 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • An Introduction to Solving Biological Problems with R

    4 - 5 September 2017

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with R https://tess.oerc.ox.ac.uk/events/an-introduction-to-solving-biological-problems-with-r-ced23be3-49c1-4846-9599-1a865fb5197d [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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Data Analysis and Visualisation in R

    6 September 2017

    Cambridge, United Kingdom

    Elixir node event
    Data Analysis and Visualisation in R https://tess.oerc.ox.ac.uk/events/data-analysis-and-visualisation-in-r-ab67423c-9bf0-4f3e-b9ef-21b21eaf1ca2 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Working with Python: functions and modules

    12 October 2017

    Cambridge, United Kingdom

    Elixir node event
    Working with Python: functions and modules https://tess.oerc.ox.ac.uk/events/working-with-python-functions-and-modules-1e6549e6-fe45-4171-ac92-8a753539707f 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Introduction to RNA-seq and ChIP-seq data analysis

    25 - 26 October 2017

    Cambridge, United Kingdom

    Elixir node event
    Introduction to RNA-seq and ChIP-seq data analysis https://tess.oerc.ox.ac.uk/events/introduction-to-rna-seq-and-chip-seq-data-analysis-50fa6476-a7c3-43ed-b06b-b2e8fc05eb82 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 RNA-Seq 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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • Analysis of single cell RNA-seq data

    31 October - 1 November 2017

    Cambridge, United Kingdom

    Elixir node event
    Analysis of single cell RNA-seq data https://tess.oerc.ox.ac.uk/events/analysis-of-single-cell-rna-seq-data-65e4ad9c-7a84-42d3-99e1-490795411009 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=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 individualsPlease be aware that these courses are only free for University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here workshops_and_courses [] []
  • EMBL-EBI: Bioinformatics resources for exploring disease related data

    30 October 2017

    Cambridge, United Kingdom

    Elixir node event
    EMBL-EBI: Bioinformatics resources for exploring disease related data https://tess.oerc.ox.ac.uk/events/embl-ebi-bioinformatics-resources-for-exploring-disease-related-data This workshop will introduce students to [EMBL-EBI](http://www.ebi.ac.uk/), the databases and services it offers, and basic concepts in bioinformatics that will be of use to their disease related research work. It will explain the role of the EMBL-EBI in curating and sharing biological data with scientists around the world, and introduce concepts for locating relevant data and information of interest. Sessions with trainers from [Ensembl](http://www.ensembl.org/), [ArrayExpress](https://www.ebi.ac.uk/arrayexpress/) and the [GWAS catalog](https://www.ebi.ac.uk/gwas/) will introduce practical skills in browsing genes and variation in a genomic context, in exploring SNP-trait associations and will show how further understanding can be gained on the location and level of gene expression across the body. 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=2185067&course-title=Bioinformatics%20resources%20for%20exploring%20disease%20related%20data).'' 2017-10-30 09:45:00 UTC 2017-10-30 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training This workshop is aimed at students on the Rare Diseases and Experimental Medicine MPhil courses at the University of Cambridge. Students from the wider clinical sciences group are also able to attend subject to space being available.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Biological data analysis using InterMine

    27 October 2017

    Cambridge, United Kingdom

    Elixir node event
    Biological data analysis using InterMine https://tess.oerc.ox.ac.uk/events/biological-data-analysis-using-intermine-5dbb7f3d-0d8b-435d-a6f3-7d3b6f5c4788 [InterMine](http://intermine.org/) is a freely available data integration and analysis system that has been used to create a suite of databases for the analysis of large and complex biological data sets. InterMine-based data analysis platforms are available for many organisms including mouse, rat, budding yeast, plants, nematodes, fly, zebrafish and more recently human. The InterMine web interface offers sophisticated query and visualisation tools, as well as comprehensive web services for bioinformaticians. Genomic and proteomic data within InterMine databases includes pathways, gene expression, interactions, sequence variants, GWAS, regulatory data and protein expression. Part 1 (2.5 - 3 hours) will introduce participants to all aspects of the user interface, starting with some simple exercises and building up to more complex analysis encompassing several analysis tools and comparative analysis across organisms. No previous experience is necessary for this part of the workshop. Part 2 (1 hour) will focus on the InterMine API and introduce running InterMine searches through Python and Perl scripts. While complete beginners are welcome, some basic knowledge of perl, and/or python would be an advantage. The InterMine R package will also be introduced. Those not interested in this part of the workshop are welcome to leave or there will be a more advanced exercise using the web interface available as an alternative. 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=1572573&amp;course-title=Biological%20data%20analysis%20using%20InterMine).'' 2017-10-27 08:30:00 UTC 2017-10-27 12:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasetsor who need to search against several biological datasets to gain knowledge of a gene/gene setbiological process or function. The exercises will mainly use the flyhuman and mouse databasesbut the course is applicable to anyone working with data for which an InterMine database is available. See www.intermine.org for a comprehensive list of InterMine databases.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
niall updated University of Cambridge Bioinformatics Training at 2017-04-26 10:47:49 UTC.
changed Node to: United Kingdom (19)
scraper created University of Cambridge Bioinformatics Training at 2016-11-22 04:01:55 UTC.