Events - TeSS (Training eSupport System)

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- University of Cambridge Bioinformatics Training683
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- Active learning28
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- Bottom-up proteomics25
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- Proteomics25
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- Biological modelling24
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- Exometabolomics21
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- Python20
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- Biomedical research16
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- Phylogenetics14
- ChIP-exo12
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- Workshops and courses1073
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- Craik-Marshall Building678
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- European Bioinformatics Institute, Hinxton98
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- European Bioinformatics Institute (EMBL-EBI) - Training Room 1, Wellcome Genome Campus36
- European Bioinformatics Institute (EMBL-EBI) - Training Room 2, Wellcome Genome Campus33
- Earlham Institute (EI), Colney Lane17
- European Bioinformatics Institute17
- Wellcome Genome Campus16
- Virtual, EMBL-EBI15
- European Bioinformatics Institute (EMBL-EBI)14
- The Diamond, Workroom 111
- Birmingham Metabolomics Training Centre9
- School of Biosciences - University of Birmingham9
- EBI, Wellcome Genome Campus8
- Hinxton8
- Pam Liversidge Design Studio 1 - D068
- Bartolome House, Seminar Room EG037
- EMBL-EBI7
- EMBL-EBI, Wellcome Genome Campus7
- ONLINE7
- Cranfield University5
- Sheffield Institute for Translational Neuroscience5
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre4
- Dexter House4
- Earlham Institute (EI), Colney Lane4
- European Bioinformatics Institute (EMBL-EBI) - Kendrew Lecture Theatre, Wellcome Genome Campus4
- Online4
- Pam Liversidge Building, Design Studio 1, D064
- United Kingdom4
- University of Cambridge, Trinity Ln4
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- Online, West Mains Road3
- Pam Liversidge Building, Design Studio 1 - D06, or ONLINE3
- Pam Liversidge Design Studio 2 - E063
- The Genome Analysis Centre, Norwich Research Park3
- The King's Buildings, The University of Edinburgh3
- The Royal Society3
- University Hospital Southampton NHS Foundation Trust, Tremona Road3
- University of Nottingham, University Park3
- University of Sheffield, or ONLINE3
- , Wellcome Genome Campus2
- Barber House Boardroom (Sheffield), or ONLINE2
- Bartolome House, Computer Room ALG042
- EMBL-EBI European Bioinformatics Institute Main Building2
- European Bioinformatics Institute (EMBL-EBI) - Training Room 12
- European Bioinformatics Institute (EMBL-EBI) - Wellcome Trust Conference Centre, Wellcome Genome Campus2
- The Francis Crick Institute, 1 Midland Road2
- University of Cambridge, Downing Street2
- University of Glasgow, University of Glasgow2
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- Virtual Event2
- Virtual format2
- Wellcome Collection2
- , Sanders Hall, Postdoc Centre @ Eddington - 105 Eddington Place1
- 126 Mount Pleasant, 126, Mount Pleasant1
- ARCHER-SSI Data Carpentry at Cardiff University1
- Anglia Ruskin University, Cambridge Campus1
- Barber House Boardroom (PROVISIONAL) or ONLINE1
- Bartolome House Seminar Room EG03, or ONLINE1
- Bartolome House, Seminar Room EG031
- Bartolome House, Seminar Room EG03 (Sheffield)1
- Bartolome House, Seminar Room EG03 (Sheffield), or ONLINE1
- Bartolome House, Seminar Room EG03, University of Sheffield, or ONLINE1
- Bartolome House, Seminar Room EG03, or ONLINE1
- Bartolomé House, Sheffield S10,, or ONLINE1
- Birmingham and The International Convention Centre1
- Cambridge1
- Centre for Mathematical Sciences1
- Centro de Pesquisas René Rachou – Fundação Oswaldo Cruz, entro de Pesquisas René Rachou – Fundação Oswaldo Cruz1
- Churchill College1
- City University London1
- Computational and Data Driven Science1
- EBI1
- EBI IT-Training Room1
- EMBL1
- EMBL-EBI IT Training room1
- EMBL-EBI South Building and ELIXIR Hub1
- EMBL-EBI, EMBL EBI1
- Earlham Institute1
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- East Midlands Conference Centre1
- European Bioinformatics Institute (EMBL-EBI) - Garden Room, Wellcome Genome Campus1
- European Bioinformatics Institute (EMBL-EBI) - Media Suite, Wellcome Genome Campus1
- European Bioinformatics Institute (EMBL-EBI) - Training Room 21
- Excel1
- FIXME1
- Harpenden1
- Health Data Research UK1
- Heart of the Campus, Sheffield Hallam University1
- Henry Auditorium1
- Heriot Watt University (Riccarton campus)1
- High Street1
- Hinxton Conference centre1
- Hinxton Hall Conference Centre1
- Institute of Genetics and Molecular Medicine (IGMM), Institute of Genetics and Molecular Medicine (IGMM)1
- International Convention Centre1
- Kings Buildings, The University of Edinburgh, Easter Bush campus1
- Kings Buildings, The University of Edinburgh, Murchison House G07, Kings Buildings campus1
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- Newcastle3
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- Chester2
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- Belo Horizonte1
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- Organizer
- University of Cambridge689
- European Bioinformatics Institute (EBI)121
- EMBL-EBI29
- Earlham Institute25
- Software Carpentry7
- Cranfield University5
- RMS5
- Select Biosciences4
- The Royal Society4
- University of Bradford4
- BMSS3
- Computational Biology Facility3
- Cranfield Health3
- EMBI3
- EMBO3
- diXa3
- Edinburgh Genomics2
- HUPO2
- High Performance Computing University of Bradford2
- NEOF2
- Oxford Global Conferences2
- Royal Microscopical Society2
- The Physiological Society2
- AllBio1
- BSPR1
- BioExcel1
- Biochemical Society1
- Bone Research Society1
- CCBI1
- CINECA1
- Cardiff University1
- Centre for Genomic Pathogen Surveillance (University of Oxford) and Wellcome Connecting Science1
- Centre for Genomic Research, University of Liverpool (https://www.liverpool.ac.uk/genomic-research/)1
- Computational Biology Facility, University of Liverpool: https://www.liverpool.ac.uk/computational-biology-facility/1
- Dr Jim Procter and Dr Dan Rigden1
- ELIXIR1
- ELIXIR-UK1
- ELIXIR-UK DaSH1
- EMBL1
- EMBL-EBI/Wellcome Trust1
- Entrepeneurial Postdocs of Cambridge and ELIXIR-UK1
- Europe PMC1
- European Crystallographic Association1
- Gabriella Rustici1
- Generic Model Organism Database community1
- Heather Fraser (https://training.galaxyproject.org/training-material/hall-of-fame/hfraser/), Mark Hintze (https://training.galaxyproject.org/training-material/hall-of-fame/mhintze/), Wendi Bacon (https://training.galaxyproject.org/training-material/hall-of-fame/nomadscientist/)1
- Learn to Discover Team (UCL)1
- Library Publishing Media1
- Meningitis Research Foundation1
- Metabolomics Society1
- N8CIR1
- Newcastle University1
- Nicola Soranzo1
- Rob Finn1
- Rothamsted Research\, MRC\, LUMC\, IST\, Corporate Semantic Web\, MRC1
- Royal Society of Chemistry1
- Select Bio1
- Summer Rosonovski1
- The European Microscopy Society1
- The Institute of Biomedical Science1
- Thermo Fisher Scientific1
- University of Birmingham1
- University of Cambridge / Alan Turing Institute1
- University of Leicester1
- Waters Ireland1
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- NERC6
- ELIXIR2
- CINECA project1
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- ELIXIR Training Platform1
- ELIXIR-CONVERGE1
- EMBRIC1
- FindingPheno1
- Liverpool Shared Research Facilities1
- Merck1
- Molecular Machines & Industries (MMI)1
- One Nucleus1
- Repositive1
- This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)1
- UKRI – UK Research and Innovation1
- University of Dundee1
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- Target audience
- Institutions and other external Institutions or individuals570
- Postdocs and Staff members from the University of Cambridge570
- Graduate students569
- Everyone is welcome to attend the courses55
- please review the policies.54
- 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.29
- This course is included as part of several DTP and MPhil programmes24
- <span style="color:#FF0000">After you have booked a place22
- if you are unable to attend any of the live sessions and would like to work in your own time22
- including for registered university students.<span style="color:#FF0000">22
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance22
- 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.16
- 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.15
- This course is aimed at students and researchers of any background.15
- We assume no prior knowledge of what a HPC is or how to use it.15
- PhD students12
- Bioinformaticians and wet-lab biologists who can program11
- Existing R users who are not familiar with dplyr and ggplot211
- Those with programming experience in other languages that want to know what R can offer them11
- Researchers7
- Researchers who are applying or planning to apply image analysis in their research7
- The course is aimed at biologists interested in microbiology7
- This workshop is aimed at researchers interested in proteins7
- network analysis7
- post-docs7
- 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
- protein-protein interactions and related areas6
- Biologists and bioinformaticians5
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.5
- The course is open to Graduate students5
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes5
- This course is aimed at researchers with no prior experience in phylogenetic analysis who would like an introduction to the foundations of building phylogenies from relatively small sequences (viral genomes and/or targeted regions of eukaryotic genomes).5
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.5
- Anyone who is using sequencing as part of their work and/or research.4
- Biologists4
- Familiarity with mass spectrometry or proteomics in general is desirable4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- PhD Students4
- Researchers who want to extract quantitative information from microscopy images4
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data.4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- Wet-lab Researchers4
- bioinformatics and other life scientists planning to work with next-generation sequencing data.4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- prokaryotic genomics and antimicrobial resistance.4
- wet-lab scientists4
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Institutions and other external Institutions or individuals.3
- Institutions and other external institutions or individuals.3
- No prior experience in the analysis of these types of data is required.3
- Postdocs and other Research Staff from the University of Cambridge3
- Postdoctoral Researchers3
- Students and researchers from life-sciences or biomedical backgrounds3
- The course is aimed at <b>bench biologists and bioinformaticians</b> who need to analyse their own data against large biological datasets3
- The course is aimed at people at postgraduate level who are involved in research.3
- The course is open to Postdocs and Staff members from the University of Cambridge3
- 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 course is aimed at researchers with an interest in metabolomics and its applications.3
- 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
- analysis of complex microbiomes and antimicrobial resistance.3
- pathways and diseases.3
- prokaryotic genomics3
- <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
- Applicants are expected to have a working knowledge of R.2
- Bench biologists2
- 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
- Cytoscape will have to be downloaded and installed on your device for the practical sessions.2
- Experimental Researchers2
- Facility Managers wanting to train users2
- Further details regarding eligibility criteria are available here2
- Guidance on visiting Cambridge and finding accommodation is available here. <div class="heading">Bookings and fees</div> Please note that all participants attending this course will be charged a <b>registration fee</b>. The fees are as follows:2
- Institutions and other external Institutions2
- Life Science Researchers2
- Operators, developers and managers of bioinformatics resources2
- Part of CRUK Bioinformatics Summer School:Unix and R Foundations 20222
- Participants organised through CRUK Cambridge Centre2
- Please review the policies.2
- Principal Investigators2
- Principal Investigators from the University of Cambridge2
- 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
- The workshop is suitable for scientists that are producing sequence data and require a platform to publish it2
- This course is aimed at researchers with no prior experience in the analysis of ChIP-seq data2
- 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
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- Eligibility
- Registration of interest36
- First come first served25
- By invitation4
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- Language
- English4
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- Node
- United Kingdom753
- EMBL-EBI466
- Greece3
- Italy3
- Netherlands3
- Switzerland3
- Belgium2
- Finland2
- France2
- Germany2
- Norway2
- Portugal2
- Czech Republic1
- Israel1
- Slovenia1
- Spain1
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- Collection
- Impact of research infrastructures2
- Single-cell Omics Community - collection of courses and materials2
- ELIXIR hCNV community - collection of courses and materials.1
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