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13 events found

Target audience: Graduate students 

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City: Bogota  or Heidelberg  or Ghent  or Utrecht  or Melbourne   or Cambridge 

  • An Introduction to MATLAB for biologists

    17 - 18 June 2019

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to MATLAB for biologists https://tess.elixir-europe.org/events/an-introduction-to-matlab-for-biologists-a9541e05-1954-46a3-9643-ac3655b1ee37 This course aims to give you an introduction to the basics of Matlab. During the two day course we will use a practical based approach to give you the confidence to start using Matlab in your own work. In particular we will show you how to write your own scripts and functions and how to use pre-written functions. We will also explore the many ways in which help is available to Matlab users. In addition we will cover basic computer programming in Matlab to enable you to write more efficient scripts. 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 Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2848057&course-title=An%20Introduction%20to%20MATLAB).'' 2019-06-17 08:30:00 UTC 2019-06-18 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 [] []
  • Biological data analysis using InterMine (User Interface)

    19 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Biological data analysis using InterMine (User Interface) https://tess.elixir-europe.org/events/biological-data-analysis-using-intermine-98ca2f5d-2b72-48e4-bd7b-463d61ab6d2b [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. See [here](http://intermine.org/) for a comprehensive list of InterMine databases. 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. This course will focus on the InterMine web interface and 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. The exercises will mainly use the fly, human and mouse databases, but the course is applicable to anyone working with data for which an InterMine database is available. This event is organised alongside a half day course on Biological data analysis using the InterMine API. More information on this event are available [here](https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-intermineAPI). 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 Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2874533&amp;course-title=Biological%20data%20analysis%20using%20InterMine).'' 2019-06-19 08:30:00 UTC 2019-06-19 11:30:00 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.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Biological data analysis using the InterMine API

    19 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Biological data analysis using the InterMine API https://tess.elixir-europe.org/events/biological-data-analysis-using-the-intermine-api [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. See [here](http://registry.intermine.org/) for a comprehensive list of InterMine databases. Genomic and proteomic data within InterMine databases includes pathways, gene expression, interactions, sequence variants, GWAS, regulatory data and protein expression. InterMine provides sophisticated query and visualisation tools both through a web interface and an extensive API; this course will focus on programmatic access to InterMine through its API and on running InterMine searches using Python, Perl and R scripts. The exercises will mainly use the fly, human and mouse databases, but the course is applicable to anyone working with data for which an InterMine database is available. This event is organised alongside a half day course on Biological data analysis using the InterMine User Interface. More information on this event are available [ https://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-intermine here]. 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 Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2876900&amp;course-title=Biological%20data%20analysis%20using%20the%20InterMine%20API).'' 2019-06-19 12:30:00 UTC 2019-06-19 15:30:00 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 suitable for anyone wanting to know how the InterMine API works and how accessing InterMine data programmatically could help them in their researchGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • Protein Structure Analysis

    20 - 21 June 2019

    Cambridge, United Kingdom

    Elixir node event
    Protein Structure Analysis https://tess.elixir-europe.org/events/protein-structure-analysis-68d1adc5-ee68-4cd3-a3a2-53474493f726 This course covers analytical approaches for the interpretation of biomacromolecular structures including 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/). In addition, we will look at mapping genetic variants onto structures as well as visualisation and basic analysis of protein structures. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2884552&amp;course-title=Protein%20Structure%20Analysis).'' 2019-06-20 09:00:00 UTC 2019-06-21 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Protein structure analysis Data visualisation 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 [] []
  • 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&amp;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 [] []
  • 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2871453&amp;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 [] []
  • Variant Discovery with GATK4

    8 - 11 July 2019

    Cambridge, United Kingdom

    Elixir node event
    Variant Discovery with GATK4 https://tess.elixir-europe.org/events/variant-discovery-with-gatk4 This workshop will focus on the core steps involved in calling germline short variants, somatic short variants, and copy number alterations with the [Broad’s Genome Analysis Toolkit (GATK)](https://www.broadinstitute.org/gatk/), using “Best Practices” developed by the GATK methods development team. A team of methods developers and instructors from the Data Sciences Platform at Broad will give talks explaining the rationale, theory, and real-world applications of the GATK Best Practices. You will learn why each step is essential to the variant-calling process, what key operations are 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. If you are an experienced GATK user, you will gain a deeper understanding of how the GATK works under-the-hood and how to improve your results further, especially with respect to the latest innovations. *Day 1: Introductory and Overview. The first day of the workshop gives a high-level overview of various topics in the morning, and in the afternoon we show how these concepts apply to a case study. The case study is tailored based on the audience, as represented by their answers in our pre-workshop survey. *Day 2: Germline Short Variant Discovery. Today we dive deep into the tools that make up the GATK Best Practices Pipeline. In the morning we discuss variant discovery, and in the afternoon we look at refinement and filtering. You will have the opportunity both in the morning and in the afternoon to get hands-on with these tools and run them yourself. *Day 3: Somatic Variant Discovery. Today we will cover Somatic Variant Discovery in more depth. In the morning we primarily focus on calling short variants with Mutect2, and in the afternoon we look at copy number alterations. Both sections have a paired hands-on activity. *Day 4: Pipelining. Over the first three days, you would have learned a lot about different pipelines and tools that you can use in GATK. Today we will be learning all about how those pipelines are written in a language called WDL. In the afternoon we cover other useful topics to working on the cloud, including Docker and BigQuery. 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. The hands-on GATK tutorials in this workshop will be conducted on [Terra](https://terra.bio/), a new platform developed at Broad in collaboration with Verily Life Sciences for accessing data, running analysis tools and collaborating securely and seamlessly. 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 Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2858057&amp;course-title=Variant%20Discovery%20with%20GATK4).'' 2019-07-08 08:30:00 UTC 2019-07-11 15:30:00 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 [] 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 [] []
  • Statistical Analysis using R

    12 July 2019

    Cambridge, United Kingdom

    Elixir node event
    Statistical Analysis using R https://tess.elixir-europe.org/events/statistical-analysis-using-r-a475c245-6dc2-44ec-ae0a-a6e9022475ff 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). This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1). 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=2426604&amp;&amp;course-title=Statistical%20analysis%20using%20R).'' 2019-07-12 08:30:00 UTC 2019-07-12 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 [] []
  • An Introduction to Solving Biological Problems with Python

    5 - 6 September 2019

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with Python https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-0c5d3c61-8cd7-4dbe-be6f-6f07e431225c 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. Concepts and strategies for working more effectively with Python are now the focus of a new 2-days course, [Data Science in Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-dspyt/). 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3070466&amp;course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2019-09-05 08:30:00 UTC 2019-09-06 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 [] []
  • Statistics for Biologists in R

    19 - 20 September 2019

    Cambridge, United Kingdom

    Elixir node event
    Statistics for Biologists in R https://tess.elixir-europe.org/events/statistics-for-biologists-in-r-f130f1e1-8d44-46e0-b02c-ed742ad66773 This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences using the R software package. In this course we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to multiple linear regression. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques. This event is supported by the BBSRC Strategic Training Awards for Research Skills (STARS) grant (BB/P022766/1). 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=2815748&amp;course-title=Statistics%20for%20Biologists%20in%20R).'' 2019-09-19 08:30:00 UTC 2019-09-20 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • An Introduction to Machine Learning

    2 - 4 October 2019

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-c4f53d48-57b9-468c-bf48-8107350d6d40 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. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3043850&amp;course-title=An%20Introduction%20to%20Machine%20Learning).'' 2019-10-02 08:30:00 UTC 2019-10-04 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 is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] []
  • ChIP-seq and ATAC-seq analysis

    23 - 24 October 2019

    Cambridge, United Kingdom

    Elixir node event
    ChIP-seq and ATAC-seq analysis https://tess.elixir-europe.org/events/chip-seq-and-atac-seq-analysis-b2a9ec58-3f94-497f-b6a6-d18041934b1f The primary aim of this course is to familiarise participants with the analysis of ChIP-seq and ATAC-seq data and provide hands-on training on the latest analytical approaches. The course starts with an introduction to ChIP-seq experiments for the detection of genome-wide DNA binding sites of transcription factors and other proteins. We first show data quality control and basic analytical steps such as alignment, peak calling and motif analysis, followed by practical examples on how to work with biological replicates and fundamental quality metrics for ChIP-seq datasets. On the second day, we then focus on the analysis of differential binding, comparing between different samples. We will also give an introduction to ATAC-seq data analysis for the detection of regions of open chromatin. 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=3049814&amp;course-title=ChIP-seq%20and%20ATAC-seq%20analysis).'' 2019-10-23 08:30:00 UTC 2019-10-24 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR ChIP-seq Data mining 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 individuals workshops_and_courses [] []
  • Data Science in Python

    30 - 31 October 2019

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python https://tess.elixir-europe.org/events/data-science-in-python-936eab84-71b6-473b-b5e4-ab74565a90d0 This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code, using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing modules and classes. Note: this 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. 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 by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3062424&amp;course-title=Data%20Science%20in%20Python).'' 2019-10-30 09:30:00 UTC 2019-10-31 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 [] []
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