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  • Image Analysis for Biologists

    7 - 9 December 2015

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on Fiji, an extensible open source software package. On day 2, we will focus on machine learning and computer vision for the analysis of images in cell biology. We will introduce the methodology in a series of lectures and show their application in the hands-on session. These practical sessions will be based on [CellCognition](http://www.cellcognition.org/), a tool for the analysis of live cell imaging data. On day 3, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualization, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). The timetable can be found [here](https://drive.google.com/file/d/0B5BzNXp93Gp5MnBPU0RKOV9TOEU/view?usp=sharing). This event is sponsored by the [Systems Microscopy NoE](http://www.systemsmicroscopy.eu/). 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=Image%20Analysis%20for%20Biologists%20_7-9.12.2015_1544771&CourseName=Image%20Analysis%20for%20Biologists&CourseDate=7-9.12.2015&CourseDuration=3&EventID=1544771).'' 2015-12-07 09:30:00 UTC 2015-12-09 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 [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Image Analysis for Biologists

    19 - 20 May 2016

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-38e69a97-3885-4082-b017-1d3e0a1bb064 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on Fiji, an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualization, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). The timetable can be found [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/bioinfo-image). 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=Image%20Analysis%20for%20Biologists%20_19-20.05.2016_1706338&CourseName=Image%20Analysis%20for%20Biologists&CourseDate=19-20.05.2016&CourseDuration=2&EventID=1706338).'' 2016-05-19 08:30:00 UTC 2016-05-20 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An introduction to metabolomics and its application in life-sciences

    20 - 21 June 2016

    Cambridge, United Kingdom

    Elixir node event
    An introduction to metabolomics and its application in life-sciences https://tess.elixir-europe.org/events/an-introduction-to-metabolomics-and-its-application-in-life-sciences-e1cd9f51-270e-469e-98c9-47469364c8a3 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. A draft agenda can be found [here](https://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/bioinfo-metaintro). 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://marstons.bio.cam.ac.uk/course-booking/?CourseID=An%20introduction%20to%20metabolomics%20and%20its%20application%20in%20life-sciences_bioinfo-metaintro_20-21.06.2016_1572627&CourseName=An%20introduction%20to%20metabolomics%20and%20its%20application%20in%20life-sciences&CourseDate=20-21.06.2016&CourseDuration=2&EventID=1572627).'' 2016-06-20 08:30:00 UTC 2016-06-21 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Metabolomics Functional genomics Data visualisation Cell biology 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 [] HDRUK
  • Image Analysis for Biologists

    12 - 14 December 2016

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-a6ce3427-1d29-46e0-9738-bc9d4dca1538 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualization, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). On day 3, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. A timetable is available [here](http://bioinfotraining.bio.cam.ac.uk/postgraduate/specialized/bioinfo-image). 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=1879343&course-title=Image%20Analysis%20for%20Biologists).'' 2016-12-12 09:30:00 UTC 2016-12-14 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An introduction to metabolomics and its application in life-sciences

    19 - 20 June 2017

    Cambridge, United Kingdom

    Elixir node event
    An introduction to metabolomics and its application in life-sciences https://tess.elixir-europe.org/events/an-introduction-to-metabolomics-and-its-application-in-life-sciences 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=2013503&course-title=An%20introduction%20to%20metabolomics%20and%20its%20application%20in%20life-sciences).'' 2017-06-19 08:30:00 UTC 2017-06-20 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 42 workshops_and_courses first_come_first_served HDRUK
  • Cancer Genomics

    20 - 23 June 2017

    Cambridge, United Kingdom

    Elixir node event
    Cancer Genomics https://tess.elixir-europe.org/events/cancer-genomics-2017 This course will focus on the analysis of data from genomic studies of Cancer. 2017-06-20 08:30:00 UTC 2017-06-23 17:45:00 UTC Gabriella Rustici European Bioinformatics Institute (EMBL-EBI) - Training Room 1, Cambridge, United Kingdom European Bioinformatics Institute (EMBL-EBI) - Training Room 1 Cambridge Cambridgeshire United Kingdom CB10 1SD [] Johanna Langrish [] PhD studentsPostdoctoral Researchers 30 workshops_and_courses registration_of_interest HDRUK
  • Image Analysis for Biologists

    26 - 28 June 2017

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-cd4b3336-bf22-48de-8e32-e4c22f2c4722 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). On day 3, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). In the afternoon, we will present the [Image Data Resource](https://idr.openmicroscopy.org/), an added-value platform that combines data from multiple independent imaging experiments and imaging modalities and integrates them into a single resource for reanalysis in a convenient, scalable form. 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=2046117&course-title=Image%20Analysis%20for%20Biologists).'' 2017-06-26 08:30:00 UTC 2017-06-28 15:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals 42 workshops_and_courses first_come_first_served HDRUK
  • In Silico Systems Biology

    9 - 14 July 2017

    Cambridge, United Kingdom

    Elixir node event
    In Silico Systems Biology https://tess.elixir-europe.org/events/in-silico-systems-biology-e96b3852-5b7b-4e70-a1d7-2c3352ce59a4 Run jointly with the Wellcome Trust, this course will provide participants with an introduction to network analysis and an in-depth training in the main modelling approaches used in systems biology. 2017-07-09 12:00:00 UTC 2017-07-14 16:00:00 UTC European Bioinformatics Institute (EMBL-EBI) - Training Room 1, Cambridge, United Kingdom European Bioinformatics Institute (EMBL-EBI) - Training Room 1 Cambridge United Kingdom CB10 1SD [] EMBL-EBI Training Team [] PhD studentsResearchers 30 workshops_and_courses registration_of_interest HDRUK
  • Image Analysis for Biologists

    11 - 12 December 2017

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-1d1fbf41-6de4-4c72-9dad-ee405e6a9389 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate). The afternoon of day two will focus on understanding the basics of deconvolution and colocalisation, using tools in Fiji to look at basic examples of how to apply deconvolution and how to carry out colocalisation analysis in fluorescence microscopy. 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=1923480&course-title=Image%20Analysis%20for%20Biologists).'' 2017-12-11 09:30:00 UTC 2017-12-12 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 [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An introduction to metabolomics and its application in life-sciences

    2 - 3 July 2018

    Cambridge, United Kingdom

    Elixir node event
    An introduction to metabolomics and its application in life-sciences https://tess.elixir-europe.org/events/an-introduction-to-metabolomics-and-its-application-in-life-sciences-6f7cb052-d300-4400-899e-82f192acbe98 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 [] HDRUK
  • Image Analysis for Biologists

    9 - 11 July 2018

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-2e61e51b-b3c2-44bb-844e-191710e6ffd5 This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate) and advanced image segmentation using [Ilastik](http://ilastik.org/). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. On day 3, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). 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=2495657&course-title=Image%20Analysis%20for%20Biologists).'' 2018-07-09 08:30:00 UTC 2018-07-11 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Using public data resources to build a business model

    18 July 2018

    Cambridge, United Kingdom

    Using public data resources to build a business model https://tess.elixir-europe.org/events/using-public-data-resources-to-build-a-business-model Entrepeneurial Postdocs of Cambridge (EPOC) is organising an event entitled Using public data resources to build a business model together with ELIXIR UK, Repositive and One Nucleus to explore how public life sciences data infrastructures generate innovation and support the creation of start-ups and SMEs. 2018-07-18 18:00:00 UTC 2018-07-18 21:00:00 UTC Entrepeneurial Postdocs of Cambridge and ELIXIR-UK Postdoc Centre, 16, Mill Lane, Cambridge, United Kingdom Postdoc Centre, 16, Mill Lane Cambridge Cambridgeshire United Kingdom CB2 1SB Data integration and warehousing Bioinformatics University of Cambridge epoc@admin.cam.ac.uk ELIXIROne NucleusRepositive Researcherspost-docsPhD students meetings_and_conferencesworkshops_and_courses [] bioinformaticsentrepeneurshipdatalife sciences
  • Image Analysis for Biologists

    24 - 26 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Image Analysis for Biologists https://tess.elixir-europe.org/events/image-analysis-for-biologists-5372065b-76aa-42d1-b91f-17ef321e2e8d This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package. On day 2, we will cover time series processing and cell tracking using [TrackMate](http://imagej.net/TrackMate) and advanced image segmentation using [Ilastik](http://ilastik.org/). Additionally, in the afternoon we will run a study design and data clinic (sign up will be required) for participants that wish to discuss their experiments. On day 3, we will describe the open [Icy platform](http://icy.bioimageanalysis.org/) developed at the Institut Pasteur. Icy is a next-generation, user-friendly software offering powerful acquisition, visualisation, annotation and analysis algorithms for 5D bioimaging data, together with unique automation/scripting capabilities (notably via its graphical programming interface) and tight integration with existing software (e.g. ImageJ, Matlab, Micro-Manager). The training room is located on the first floor and there is currently no wheelchair or level access available 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 or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2871473&course-title=Image%20Analysis%20for%20Biologists).'' 2019-06-24 08:30:00 UTC 2019-06-26 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Data mining Biological imaging Bioinformatics University of Cambridge Bioinformatics Training [] Researchers who are applying or planning to apply image analysis in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An introduction to metabolomics and its application in life-sciences

    27 - 28 June 2019

    Cambridge, United Kingdom

    Elixir node event
    An introduction to metabolomics and its application in life-sciences https://tess.elixir-europe.org/events/an-introduction-to-metabolomics-and-its-application-in-life-sciences-479b264a-da05-42b8-ba0e-679e70e2823c 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. The training room is located on the first floor and there is currently no wheelchair or level access available 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 or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2871453&course-title=An%20introduction%20to%20metabolomics%20and%20its%20application%20in%20life-sciences).'' 2019-06-27 08:30:00 UTC 2019-06-28 16:30:00 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 [] HDRUK
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