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Keyword
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Scientific topic
- Bioinformatics
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- Biological modelling236
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Operation
- Data handling2
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- Allele calling1
- Alternative splicing analysis1
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Venue
- Craik-Marshall Building280
- European Bioinformatics Institute15
- European Bioinformatics Institute, Hinxton13
- 187 Grattan St, 187, Grattan Street9
- Australia9
- EBI, Wellcome Genome Campus8
- European Molecular Biology Laboratory7
- EMBL-EBI, Wellcome Genome Campus6
- LAB-146
- Lab-14, VLSCI6
- Translational Research Institute, 37, Kent Street6
- EMBL Heidelberg5
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- Lab-145
- Lister Hill Auditorium in Building 38A5
- Melbourne Bioinformatics Boardroom, 187 Grattan St, Carlton5
- EMBL Hamburg4
- Online4
- University of Lausanne4
- Washington Convention Center4
- EMBL3
- Genopode Building3
- Level 4, Large Meeting Room, Translational Research Facility, Monash Health Translation Precinct, Clayton3
- Moscone North Convention Center3
- RCC Meeting Room, Room 505, Level 5, Axon Building, Building 47, University of Queensland, St Lucia3
- Room 234, Ingkarni Wardli Building, North Terrace Campus, University of Adelaide3
- 161 Barry St, Carlton2
- Building 2, Room 001, James Cook University (Townsville Campus), 1 James Cook Drive, Douglas2
- Congress Center Basel2
- Cranfield University2
- Embassy Suites2
- Fairmont Orchid2
- Melbourne Bioinformatics Boardroom, 187 Grattan St, University of Melbourne, Carlton2
- Precinct E, Building E5, Room 101, James Cook University (Cairns Campus), 1/14-88 McGregor Road, Smithfield2
- S322, Menzies 20 Chancellors Walk, Monash University, Clayton Campus2
- S322, Menzies 20 Chancellors Walk, Monash University, Clayton Campus, Clayton2
- Seminar Room 1160, University of Sydney Business School (H70), Abercrombie St & Codrington St, Darlington2
- The Rhode Island Convention Center2
- USYD Camperdown, Jacaranda Training Room, Level 3, G12 Services Building 2
- University of Cambridge, Downing Street2
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- World Trade Center2
- 1) Workshop: University of Bari Aldo Moro, 1, Piazza Umberto I; 2) Summer School: Una Hotel Regina, Strada Provinciale, 57, 70016 Noicattaro, BA 1
- 187 Grattan St Carlton 1
- 187 Grattan St 1
- 187 Grattan St, Ground Floor 1
- 187 Grattan Street1
- 92, Slavatovská1
- ARDC Webinar1
- Amsterdam, Netherlands1
- Arts West North Wing Room 355 Professors Walk University of Melbourne Carlton, VIC 30531
- Arts West North Wing Room 355 Professors Walk University of Melbourne Carlton, VIC 3053 Australia 1
- Berlage Rooms, Faculty of Architecture, Delft University of Technology1
- Biozentrum1
- Boardroom 1, Level 3 Hudson Institute of Medical Research 27-31 Wright Street Clayton, VIC 31681
- Broad Institute of MIT and Harvard1
- Building 2, Room 001 James Cook University (Townsville Campus) 1
- Building 2, Room 001, James Cook University (Townsville Campus), 1 James Cook Drive, Douglas, 1
- C305 Collaborative Tutorial Room (C Building), West Street, University of Southern Queensland, Toowoomba1
- Campus di Fisciano, Università degli Studi di Salerno, Via Giovanni Paolo II, n. 1321
- Carnegie Mellon University1
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- Computer Lab G16-G17, Ground Floor, Wallace Wurth Building, UNSW Sydney1
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- Dipartimento di Scienze Biochimiche - Alessandro Rossi Fanelli, 332, Viale Regina Elena1
- Doherty Institute for Infection & Immunity1
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- ENS Lyon - Site Monod, 46, Allée d'Italie1
- Earlham Institute (EI), Colney Lane1
- Facultad de Medicina de la Universidad de Granada, 11, Avenida de la Investigación1
- Fisher Training Room 210, Fisher Library, Camperdown Campus, The University of Sydney1
- Forgan Smith Building #01 Room W3491
- Gaustadalléen 23, 23, Gaustadalléen1
- Genedata Academy1
- Genopode building of the University of Lausanne1
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- HS3 401, La Trobe University - Bundoora 1
- HS3 402, La Trobe University, Melbourne Campus, Plenty Road1
- Hameau de l’Etoile1
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- Harry Perkins Institute of Medical Research, 6 Verdun St1
- Hilton Philadelphia1
- Holiday Inn Munich – City Centre1
- Horace Lamb Building, University of Adelaide1
- Hotel Kabuki1
- Hotel Storebælt, Nyborg1
- Hyatt Regency Washington on Capitol Hill1
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande1
- KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat1
- Karolinska Instututet1
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City
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- Brisbane 4
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- Adelaide 2
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- Bandar Sunway1
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Country
- United Kingdom374
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- Switzerland89
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- Netherlands30
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- Belgium4
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- Austria3
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- India3
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- Argentina1
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Sponsor
- H3ABioNet3
- ELIXIR2
- ELIXIR Italy2
- SSI1
- Amazon Web Services1
- Computational Biology Facility1
- EASI-genomics1
- ELIXIR CZ1
- ELIXIR Norway1
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- EU1
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- EuPA1
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- Liverpool Shared Research Facilities1
- NORBIS1
- Novo Nordisk Foundation1
- One Nucleus1
- Repositive1
- Software Sustainability Institute1
- de.NBI1
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Target audience
- Institutions and other external Institutions or individuals278
- Postdocs and Staff members from the University of Cambridge278
- Graduate students273
- Biologists21
- bioinformaticians15
- PhD students14
- Researchers11
- Existing R users who are not familiar with dplyr and ggplot28
- Those with programming experience in other languages that want to know what R can offer them8
- Bioinformaticians and wet-lab biologists who can program7
- Biologists, Genomicists, Computer Scientists7
- 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
- post-docs6
- Life Science Researchers5
- The course is open to Graduate students5
- Molecular Biologists4
- Pathologists4
- Plant research4
- Researchers who are applying or planning to apply image analysis 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 is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.4
- This workshop is aimed at researchers interested in proteins4
- network analysis4
- protein-protein interactions and related areas4
- Anyone intersted in GWAS and using the H3Africa genotyping chip3
- Bioinformaticians3
- Biomedical researchers3
- Students and researchers from life-sciences or biomedical backgrounds3
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work3
- bioinformatics and other life scientists planning to work with next-generation sequencing data.3
- wet-lab scientists3
- health professionals2
- <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
- Biologists and bioinformaticians2
- Biophysicists2
- Computational biologists2
- Cytoscape will have to be downloaded and installed on your device for the practical sessions.2
- Developers2
- Facility Managers wanting to train users2
- Graduate Students2
- Institutions and other external Institutions2
- Master students2
- PhD and graduate students, young researchers and PIs in the life science and computational biology field2
- 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 tutorial is basic and requires no prior knowledge of any coding language or software.2
- This workshop is aimed at those who want to explore genetic variation data.2
- and for bioinformaticians wishing to search and analyse third party sequence data.2
- annotate and publish imaging data2
- data managers2
- or will shortly have2
- pathways and diseases.2
- postdocs.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 Audiences1
- Anybody interested in using Jupyter and OMERO1
- Anyone who wants to learn more about GWAS1
- 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
- BioImage Analysts with some experience of basic microscopy image analysis1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Bioinformaticians and wet-lab biologists1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Bioinformatics beginners 1
- Cell Biologists1
- Clinicians1
- Companies 1
- Computer science1
- Core Facility Managers1
- 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
- DevOps in any field1
- Experimental Researchers1
- Facility Managers using or1
- HPC users1
- Life scientists with programming skills1
- No previous knowledge of programming is required for this course.1
- OMERO for image data management1
- PhD Students1
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.1
- Post Docs1
- Post-docs1
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- English1
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