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  • 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
  • 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
  • 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
  • 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
  • Summer School - Bioinformatics for Biologists: An introduction to Data Exploration, Statistics and Reproducibility

    1 - 5 July 2019

    Cambridge, United Kingdom

    Elixir node event
    Summer School - Bioinformatics for Biologists: An introduction to Data Exploration, Statistics and Reproducibility https://tess.elixir-europe.org/events/summer-school-bioinformatics-for-biologists-an-introduction-to-data-exploration-statistics-and-reproducibility This 1-week course aims to provide an introduction to the best practices and tools needed to perform bioinformatics research effectively and reproducibly. Focusing on solutions around handling biological data, we will cover introductory lessons in data manipulation and visualisation in R, statistical analyses, and reproducibility. The R component of the course will cover from basic steps in R to how to use some of the most popular R packages (dplyr and ggplot2) for data manipulation and visualisation. No prior R experience or previous knowledge of programming/coding is required. The course also includes introductory sessions in statistics and working examples on how to analyse biological data. At the end of the course we will address issues relating to reusability and reproducibility. More information about the course can be found [here](https://e.issuu.com/anonymous-embed.html?u=bioinformaticscambridge&amp;d=bioinformaticsforbiologists_july201). This course is run in collaboration with the [Institute of Continuing Education](https://www.ice.cam.ac.uk/). 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=2853417&amp;course-title=Bioinformatics%20for%20Biologists).'' 2019-07-01 08:30:00 UTC 2019-07-05 16:15:00 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 [] This course is aimed at individuals working across biological and biomedical sciences who have little to no experience in bioinformatics.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee.<span style="color:#0000FF"> Non-members of the University of Cambridge to pay £575 </span style><span style="color:#0000FF">All Members of the University of Cambridge to pay £250 </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
  • Autumn School in Data Science: Machine learning applications for life sciences

    23 - 26 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Autumn School in Data Science: Machine learning applications for life sciences https://tess.elixir-europe.org/events/summer-school-in-biomedical-data-science-best-practices-for-single-cell-analysis-and-machine-learning-applications THIS EVENT IS NOW FULLY BOOKED! This Autumn School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models. Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Big Data](https://www.bigdata.cam.ac.uk/). 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=3050610&amp;course-title=Autumn%20School%20in%20Data%20Science).'' 2019-09-23 12:00:00 UTC 2019-09-26 14:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Bioinformatics University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £175. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
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