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  • EMBL-EBI: Interactions & Pathways - Reactome

    3 November 2015

    Cambridge, United Kingdom

    Elixir node event
    EMBL-EBI: Interactions & Pathways - Reactome https://tess.elixir-europe.org/events/embl-ebi-interactions-pathways-reactome This workshop will give an introduction to the [Reactome](http://www.reactome.org) pathway database website and analysis tools, using short presentations and practical hands-on exercises. The session will also explain where to learn more, get help, and how to become involved in adding more pathway information to Reactome. Also note: This event is part of a series of short introductions focusing on EMBL-EBI resources. If you want to learn more about these separate training events, see the Related Courses section below. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=EMBL-EBI:%20Interactions%20and%20Pathways%20-%20Reactome_bioinfo-ebireactome_3.11.2015_1392944&CourseName=EMBL-EBI:%20Interactions%20and%20Pathways%20-%20Reactome&CourseDate=3.11.2015&CourseDuration=0.5&EventID=1392944).'' 2015-11-03 09:30:00 UTC 2015-11-03 13:00:00 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 researchers who want to learn about pathways or identify pathways relevant to a set of moleculesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • EMBL-EBI: Interactions & Pathways - Reactome

    28 February 2017

    Cambridge, United Kingdom

    Elixir node event
    EMBL-EBI: Interactions & Pathways - Reactome https://tess.elixir-europe.org/events/embl-ebi-interactions-pathways-reactome-f28ac773-8e34-44b5-ad1d-7a4b8e311f04 This workshop will give an introduction to the [Reactome](http://www.reactome.org) pathway database website and analysis tools, using short presentations and practical hands-on exercises. The session will also explain where to learn more, get help, and how to become involved in adding more pathway information to Reactome. Further information can be found [here](https://www.ebi.ac.uk/training/events/2015/interactions-pathways-reactome-1). Also note: This event is part of a series of short introductions focusing on EMBL-EBI resources. If you want to learn more about these separate training events, see the Related Courses section below. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=1994156&course-title=EMBL-EBI:%20Interactions%20and%20Pathways%20-%20Reactome).'' 2017-02-28 09:00:00 UTC 2017-02-28 11:45:00 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 who want to learn about pathways or identify pathways relevant to a set of moleculesGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Marine Mammals Research and Conservation Course

    4 September - 8 February 2017

    Faro, Portugal

    Marine Mammals Research and Conservation Course https://tess.elixir-europe.org/events/marine-mammals-research-and-conservation-course Theory and practice: lectures, field trips out to sea to collect data, data handling, photo-identifications, distribution, abundance, behaviour, habitat use, human interactions, social structure, conservation, and more... Course materials and certificate will be presented. The course is equivalent to 3 ECTs. 2017-09-04 09:00:00 UTC 2017-02-08 18:00:00 UTC Centro de Ciencias do Mar (CCMAR) CIIMAR-Madeira - Interdisciplinary Centre of Marine and Environmental Research of Madeira, Faro, Portugal CIIMAR-Madeira - Interdisciplinary Centre of Marine and Environmental Research of Madeira Faro Portugal Mammals Marine biology CCMAR, Centre for Marine SciencesCIIMAR-Madeira [] PhD studentsPostdoctoral studentsAcademicsIndustry workshops_and_courses [] marine mammals
  • EMBO Practical Course Tree building: Advanced concepts and practice of phylogenetic analysis

    24 - 29 September 2018

    Faro, Portugal

    EMBO Practical Course Tree building: Advanced concepts and practice of phylogenetic analysis https://tess.elixir-europe.org/events/embo-practical-course-tree-building-advanced-concepts-and-practice-of-phylogenetic-analysis The use of phylogenetic methods to reconstruct the evolutionary history of molecular sequences is a vital part of biological research. These methods underpin studies on the evolution and epidemiology of plant and animal parasites and disease-causing organisms, and more generally they allow an objective analysis of the patterns and processes generating biological diversity. To carry out phylogenetic analysis properly, it is necessary to have a good understanding of the strengths and weaknesses of the key methods and approaches. This EMBO Practical Course has been designed to provide the theoretical and practical skills needed to carry out state-of-the-art phylogenetic analyses. The past few years have seen have an explosion in new methods of analysis including the application of Bayesian analysis methods, the development of improved non-stationary models that better represent the dynamics of sequence evolution, the application of population genetic theory to phylogenies through the use of multispecies coalescent, and the development of methods for high-throughput genome-wide analyses. This EMBO Practical Course has been designed to cater for these newest methods and for understanding how they relate to the more traditional methods. Our goal is to teach technical sophistication without losing sight of the need for a critical attitude to data and analyses. 2018-09-24 09:00:00 UTC 2018-09-29 16:00:00 UTC Cymon J. Cox, CCMAR CCMAR - Center of Marine Sciences, Faro, Portugal CCMAR - Center of Marine Sciences Faro Algarve Portugal 8005-319 Molecular modelling Phylogenetics CCMAR, Centre for Marine Sciences Cymon J. Cox - ccmaratt@ualg.pt EMBO CCMAR UALG PhD studentspostdoctoral researchersAcademicsIndustry 20 workshops_and_courses by_invitationregistration_of_interest Phylogenymolecular evolutionmolecular modellingBayesian inferenceMaximum likelihood inferencephylogenomics
  • 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 10:30:00 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
  • Joint SIB / SciLifeLab Autumn School Single Cell Analysis

    13 - 18 October 2019

    Leysin, Switzerland, Switzerland

    Elixir node event
    Joint SIB / SciLifeLab Autumn School Single Cell Analysis https://tess.elixir-europe.org/events/joint-sib-scilifelab-autumn-school-single-cell Application is now closed. This course is organised by NBIS/SciLifeLab and the SIB PhD Training Network. Priority is given to their members, but is open to everyone. 2019-10-13 09:00:00 UTC 2019-10-18 00:00:00 UTC SIB, Leysin, Switzerland, Switzerland SIB Leysin, Switzerland Switzerland [] training@sib.swiss [] Graduate studentsIndustryAcademicsPhDPhD students workshops_and_courses [] #trainingtraining
  • IAFIG-RMS: Bioimage analysis with Python

    9 - 13 December 2019

    Cambridge, United Kingdom

    Elixir node event
    IAFIG-RMS: Bioimage analysis with Python https://tess.elixir-europe.org/events/iafig-rms-bioimage-analysis-with-python THIS EVENT IS NOW FULLY BOOKED! The aim of this 5 days course is to develop motivated participants toward becoming independent BioImage Analysts in an imaging facility or research role. Participants will be taught theory and algorithms relating to bioimage analysis using Python as the primary coding language. Lectures will focus on image analysis theory and applications. Topics to be covered include: Image Analysis and image processing, Python and Jupyter notebooks, Visualisation, Fiji to Python, Segmentation, Omero and Python, Image Registration, Colocalisation, Time-series analysis, Tracking, Machine Learning, and Applied Machine Learning. The bulk of the practical work will focus on Python and how to code algorithms and handle data using Python. Fiji will be used as a tool to facilitate image analysis. Omero will be described and used for some interactive coding challenges. Research spotlight talks will demonstrate research of instructors/scientists using taught techniques in the wild. This event is organized in collaboration with the [Image Analysis Focused Interest Group](http://iafig-rms.org/) and is sponsored by the [Royal Microscopical Society](https://www.rms.org.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=3129158&amp;course-title=BioImage%20analysis%20with%20Python).'' 2019-12-09 09:30:00 UTC 2019-12-13 17:00:00 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 [] Cell BiologistsBiophysicistsBioImage Analysts with some experience of basic microscopy image analysisThis course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysisThis course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.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"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of CambridgeAffiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </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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