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  • University of Cambridge Bioinformatics Training504
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  • Bioinformatics279
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  • Metabolome4
  • Metabolomics4
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• • Event type
  • Workshops and courses504
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• • Venue
  • Craik-Marshall Building
  • European Bioinformatics Institute (EMBL-EBI)134
  • University of Cambridge68
  • European Bioinformatics Institute (EMBL-EBI) - Training Room 137
  • European Bioinformatics Institute (EMBL-EBI) - Training Room 233
  • Alison Barker20
  • Frank O’Donnell18
  • Johanna Langrish17
  • Holly Foster16
  • Virtual16
  • National Center for High-performance Computing, Hsinchu Headquarters5
  • Cancer Research UK Cambridge Institute4
  • European Bioinformatics Institute (EMBL-EBI) - Kendrew Lecture Theatre4
  • LANGEBIO, Cinvestav4
  • Università di Pavia4
  • Yvonne Thornton4
  • Conrad Hotel, Seoul, South Korea3
  • Deutsches Krebsforschungszentrum (DKFZ) - German Cancer Research Centre (GCRC)3
  • Erasmus MC Rotterdam3
  • National Biotechnology Development Agency (NABDA)3
  • Rebecca Greenhaff3
  • Sunway University3
  • The Genome Analysis Centre3
  • The King's Buildings, The University of Edinburgh3
  • Universidad de los Andes - UniAndes3
  • University Hospital Southampton NHS Foundation Trust3
  • University of Nottingham3
  • Virtual format3
  • Archives for Next Generation Sequence Data at the EBI - Cambridge University, UK2
  • Bringing Structure to Biology - Protein Structures and Tools from the EBI - Cambridge University, UK2
  • Centre for Genomic Regulation2
  • Dave Judge2
  • Ensembl Browser Workshop - Edinburgh Sept 20132
  • Ensembl Browser Workshop - Sanquin Blood Supply - Amsterdam2
  • Ensembl Browser Workshop - St. Louis Oct 20132
  • Ensembl Browser Workshop - University of Edinburgh2
  • Ensembl Webinar2
  • European Bioinformatics Institute (EMBL-EBI) - Wellcome Trust Conference Centre2
  • Faculty of Natural Sciences - University of Buenos Aires (FCEN-UBA)2
  • Institute for Medical Research, Kuala Lumpur2
  • Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR)2
  • Introduction to Next Generation Sequencing (Cambridge, UK)2
  • Kwame Nkrumah University of Science and Technology (KNUST)2
  • Maria Bacadare Goitia2
  • Metabolomics Data and Tools from the EBI - Cambridge University, UK2
  • Molecular Interaction Data and Tools from the EBI - Cambridge University, UK2
  • Nigerian Institute of Medical Research (NIMR)2
  • Protein Databases and Tools from EBI - Cambridge University, UK2
  • Stanford University2
  • The Bioinformatics Roadshow - Maine, USA2
  • The Francis Crick Institute2
  • Town and Country Hotel2
  • Transcriptomics Data and Tools from the EBI - Cambridge University, UK2
  • UC Denver2
  • Universidad Andrés Bello2
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  • University of California, San Diego2
  • University of Costa Rica (UCR)2
  • University of Glasgow2
  • University of Malta2
  • University of Montpellier2
  • University of Putra Malaysia2
  • Vale Institute of Technology (ITV)2
  • 1000 Genomes and browsing Ensembl1
  • 1st transPLANT user training workshop1
  • A walk through genes and proteins with EMBL-EBI databases and tools - BIOS in Manizales1
  • A walk through genes and proteins with EMBL-EBI databases and tools - Universidad de los Andes1
  • ADDA (Auditorio de la Diputación de Alicante)1
  • Accessing Epigenomes with Ensembl1
  • Alexandru Ioan Cuza University1
  • American Society of Human Genetics 2012 Annual Meeting (ASHG 2012)1
  • Anglia Ruskin University1
  • Austrian Institute of Technology1
  • Barcelona Supercomputing Center1
  • Bella Center1
  • Biodiversity Research Center, Academia Sinica1
  • Bioinformatics Workshop: Archives for Next Generation Sequence Data with the EBI - Cambridge, UK1
  • Bioinformatics Workshop: Metabolomics Databases and Tools with the EBI - Cambridge, UK1
  • Bioinformatics Workshop: Small molecule resources with EMBL-EBI - Cambridge, UK1
  • Bioinformatics for Geneticists (Ensembl module) - London Jun 20131
  • Bioinformatics for Nutritionists (London, UK)1
  • Bioinformatics workshop: Introduction to sequence searching with EMBL-EBI - Cambridge, UK1
  • Bioinformatics: Introduction to UniProt and InterPro - Cambridge, UK1
  • Bioinformatics: Molecular Interaction Databases, Reactions and Pathways - Cambridge, UK1
  • Biology Institute (ICB), Universidade Federal de Minas Gerais1
  • Black Forest Summer School 2013 (Ensembl module) - Herzogenhorn Sep 20131
  • Browsing Livestock Genomes with Ensembl - Norwich Jun 20131
  • Browsing Plant and Pathogen Genomes with Ensembl Genomes - Norwich Jun 20131
  • CSC- IT Centre for Science1
  • Cathy Hemmings1
  • Centre for Marine Sciences (CCMAR)1
  • Centro Nacional de Investigaciones Oncologicas1
  • Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA)1
  • Centro de Pesquisas René Rachou – Fundação Oswaldo Cruz1
  • Computational & Comparative Genomics (Ensembl module) - Cold Spring Harbor Nov 20131
  • Computational challenges and performance optimizations in NGS data analyses - London, UK1
  • Czech Centre for Phenogenomics, Institute of Molecular Genetics1
  • DKFZ1
  • Danhostel Ishøj1
  • Department of Computing Science, University of Umea1
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• • City
  • Cambridge504
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• • Country
  • United Kingdom504
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• • Organizer
  • University of Cambridge504
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• • Target audience
  • Postdocs and Staff members from the University of Cambridge488
  • Institutions and other external Institutions or individuals485
  • Graduate students484
  • 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.13
  • as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.12
  • Existing R users who are not familiar with dplyr and ggplot211
  • This course is included as part of several DTP and MPhil programmes11
  • Those with programming experience in other languages that want to know what R can offer them11
  • Bioinformaticians and wet-lab biologists who can program7
  • Researchers who are applying or planning to apply image analysis in their research7
  • The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
  • but who have not perhaps put this into practice since.6
  • It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.5
  • The course is open to Graduate students5
  • This course is aimed at students and researchers of any background.5
  • We assume no prior knowledge of what a HPC is or how to use it.5
  • Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
  • Researchers who want to extract quantitative information from microscopy images4
  • This course is aimed at researchers with an interest in metabolomics and its applications4
  • This workshop is aimed at researchers interested in proteins4
  • This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
  • network analysis4
  • or who need to search against several biological datasets to gain knowledge of a gene/gene set4
  • protein-protein interactions and related areas4
  • <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
  • Biologists3
  • Institutions and other external Institutions or individuals.3
  • The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasets3
  • The module is suitable for researchers interested in gene expression analysis and visualisation3
  • The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
  • This introductory course is aimed at biologists with little or no experience in machine learning.3
  • 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.3
  • bioinformatics and other life scientists planning to work with next-generation sequencing data.3
  • pathways and diseases.3
  • wet-lab scientists3
  • <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £575 </span style>2
  • <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>2
  • <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">2
  • Anyone wanting to use OMERO to organize2
  • Biological sciences research students and postdocs who may want to use HPC in their research. Please note that Biochemistry first year graduate students book this course via their Moodle site not here.2
  • Biologists and bioinformaticians2
  • Cytoscape will have to be downloaded and installed on your device for the practical sessions.2
  • Facility Managers wanting to train users2
  • Institutions and other external Institutions2
  • Principal Investigators from the University of Cambridge2
  • Students and researchers from life-sciences or biomedical backgrounds2
  • Suitable for students and early career researchers2
  • The course is recommended for all staff and students who use Linux in their research or plan on attending the CI High Performance Computing facilities (Cluster) course.2
  • This course is for researchers from a broad biological background as the techniques learned can be applied to any InterMine database2
  • This tutorial is basic and requires no prior knowledge of any coding language or software.2
  • This webinar is suitable for students and early career researchers with interest in Genomics2
  • This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA2
  • This workshop is aimed at researchers who are looking for an overview of the bioinformatics resources provided by EMBL-EBI2
  • This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of molecules2
  • This workshop is aimed at researchers who want to learn more about the UniProt resources2
  • This workshop is aimed at researchers who wish to understand why data standards are important and how they can be used in practice2
  • This workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.2
  • This workshop is aimed at those who want to explore genetic variation data.2
  • and industrial investigations into diagnostic and pharmaceutical design across all human cancers.2
  • annotate and publish imaging data2
  • biological process or function.2
  • cellular models of disease and computational techniques are used to identify and validate the causal links between targets2
  • covering a diverse range of organisms and biological data.2
  • data integration and visualisation2
  • encompassing all aspects of academic research2
  • or will shortly have2
  • postdocs.2
  • protein-DNA and protein-small molecular interactions.2
  • the need to apply the techniques presented during the course to biomedical data.2
  • view2
  • who are using or planning to use bioinformatics in their research2
  • who have2
  • <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee.1
  • <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 Cambridge1
  • <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>1
  • <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 £400. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £200. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
  • Affiliated 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>1
  • All postgraduates1
  • Anybody interested in using Jupyter and OMERO1
  • Applicants are expected to have an interest in learning about bioinformatics and/or are in the beginning stages of using bioinformatics in their research with the need to develop their skills and knowledge further.1
  • Beginners who have very little background in using the command line and are enthusiastic to learn more1
  • BioImage Analysts with some experience of basic microscopy image analysis1
  • Bioinformaticians and wet-lab biologists who can program in Perl.1
  • Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.1
  • Biophysicists1
  • Cell Biologists1
  • Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.1
  • Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.1
  • Facility Managers using or1
  • Image data analysts who are already involved in delivering training or planning to do so in the near future1
  • Individual Course fees are required only from external participants not from Institutions1
  • It will be delivered to Indian Women Applicants under the We -VIDYA Initiative (Women enabled for Virtual Induction as Data Youth and AI Professionals).1
  • Life scientists with programming skills1
  • Members of the Group.1
  • No previous knowledge of programming is required for this course.1
  • OMERO for image data management1
  • Postdocs and Staff members from all other external Institutions1
  • Postdocs and Staff members from the University of Cambridge and Institutions1
  • Postdocs and other individuals.1
  • Research Assistants and Research Associates1
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• • Eligibility
  • First come first served18
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  • United Kingdom504
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  • Single-cell Omics Community - collection of courses and materials1
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