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Keyword
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Scientific topic
- Bioinformatics
- Genome annotation289
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- Biological modelling229
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- Biomedical research188
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- Bottom-up proteomics145
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- Pipelines40
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- Research data archiving37
- High-throughput sequencing35
- Chromosome walking34
- Clone verification34
- DNA-Seq34
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Operation
- Data visualisation3
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- Visualisation3
- Allele calling2
- Consensus-based sequence alignment2
- Constrained sequence alignment2
- Data handling2
- Exome variant detection2
- Expression analysis2
- Expression data analysis2
- File handling2
- File processing2
- Gene expression analysis2
- Gene expression data analysis2
- Gene expression regulation analysis2
- Genetic variation analysis2
- Genetic variation annotation2
- Genome variant detection2
- Germ line variant calling2
- Metagenomic inference2
- Microarray data analysis2
- Multiple sequence alignment (constrained)2
- Mutation detection2
- Oligonucleotide alignment2
- Oligonucleotide alignment construction2
- Oligonucleotide alignment generation2
- Oligonucleotide mapping2
- Peak calling2
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- Processing2
- Protein binding peak detection2
- Protein expression analysis2
- Read alignment2
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- Report handling2
- Sequence alignment2
- Sequence alignment (constrained)2
- Sequence alignment construction2
- Sequence alignment generation2
- Sequence read pre-processing2
- Sequence variation analysis2
- Short oligonucleotide alignment2
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- Short sequence read mapping2
- Somatic variant calling2
- Transcript variant analysis2
- Utility operation2
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- de novo mutation detection2
- Alternative splicing analysis1
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- Alternative splicing prediction1
- Biological pathway analysis1
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- Biological pathway prediction1
- Cartography1
- Data analysis1
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- Data deposition brokering1
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- Differential splicing analysis1
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- Functional sequence clustering1
- Mapping1
- Optimisation and refinement1
- Pathway analysis1
- Pathway comparison1
- Pathway modelling1
- Pathway prediction1
- Pathway simulation1
- Sequencing QC1
- Sequencing quality assessment1
- Sequencing quality control1
- Splice transcript prediction1
- Split read mapping1
- Split-read mapping1
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Venue
- Craik-Marshall Building345
- European Bioinformatics Institute, Hinxton13
- European Bioinformatics Institute12
- Australia9
- 187 Grattan St, 187, Grattan Street8
- EBI, Wellcome Genome Campus8
- European Molecular Biology Laboratory7
- EMBL-EBI, Wellcome Genome Campus6
- Lab-14, VLSCI6
- Translational Research Institute, 37, Kent Street6
- EMBL Heidelberg5
- EMBL-EBI5
- 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
- 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
- University of Liverpool2
- University of Melbourne2
- 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
- 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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- Centre for Development of Advanced Computing1
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- Computer Lab G16-G17, Ground Floor, Wallace Wurth Building, UNSW Sydney1
- Crowne Plaza Hunter Valley1
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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
- Genopode building of the University of Lausanne1
- Grand Resort Lagonissi1
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- Hotel Kabuki1
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- Hyatt Regency Washington on Capitol Hill1
- ITQB NOVA, Avenida da República1
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande1
- KU Leuven - Promotion & Jubileumzaal, Naamsestraat 22, 22, Naamsestraat1
- Karolinska Instututet1
- Kingkey Palace Hotel1
- Kings Buildings, The University of Edinburgh, Easter Bush campus1
- Kowloon Shangri-La Hotel1
- L1.02, 44 Exhibition Walk Matheson Library Monash University Clayton, VIC1
- La Pedrera, 92, Passeig de Gràcia1
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City
- Cambridge365
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- Washington6
- Adelaide5
- Amsterdam5
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- New South Wales 5
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- Singapore5
- University of Melbourne5
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- Brisbane 4
- Chicago4
- Dublin4
- Geneva4
- Hamburg4
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- Nijmegen4
- Oslo4
- Strasbourg4
- Tokyo4
- Clayton3
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- Las Vegas3
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- Lyon3
- Orlando3
- Philadelphia3
- Seattle3
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- Adelaide 2
- Ann Arbor2
- Athens2
- Atlanta2
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- Durham2
- Edinburgh2
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- Montreal2
- Moscow2
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- Newcastle2
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- Oxford2
- Parkville2
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- Bandar Sunway1
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Country
- United Kingdom438
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- Belgium4
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- Czechia3
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- Argentina1
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- New Zealand1
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Sponsor
- H3ABioNet3
- Aviesan ITMO GGB2
- ELIXIR2
- ELIXIR Italy2
- IFB2
- INSERM2
- SSI1
- 101100604 - DIGITAL-2022-TRAINING-021
- Amazon Web Services1
- Australian BioCommons1
- Centre for Digital Life Norway1
- Co-funded by the European Commission1
- Computational Biology Facility1
- EASI-genomics1
- ELIXIR CZ1
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- EU COST Action G-BiKE1
- Elixir Italy1
- EuPA1
- European Proteomics Association1
- InvertOmics1
- Liverpool Shared Research Facilities1
- NORBIS1
- Novo Nordisk Foundation1
- One Nucleus1
- Repositive1
- Software Sustainability Institute1
- VEIS1
- de.NBI1
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Target audience
- Institutions and other external Institutions or individuals305
- Postdocs and Staff members from the University of Cambridge305
- Graduate students303
- Biologists22
- Everyone is welcome to attend the courses15
- PhD students15
- bioinformaticians15
- please review the policies.15
- Researchers12
- Bioinformaticians and wet-lab biologists who can program10
- Wet-lab researchers and bioinformaticians9
- 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
- Biologists, Genomicists, Computer Scientists7
- The course is aimed at biologists interested in microbiology7
- This workshop is aimed at researchers interested in proteins7
- network analysis7
- <span style="color:#FF0000">After you have booked a place6
- Life Science Researchers6
- 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
- if you are unable to attend any of the live sessions and would like to work in your own time6
- including for registered university students.<span style="color:#FF0000">6
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance6
- post-docs6
- 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 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
- Familiarity with mass spectrometry or proteomics in general is desirable4
- Molecular Biologists4
- Pathologists4
- Researchers who are applying or planning to apply image analysis in their research4
- 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 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
- bioinformatics and other life scientists planning to work with next-generation sequencing data.4
- prokaryotic genomics and antimicrobial resistance.4
- wet-lab scientists4
- Anyone intersted in GWAS and using the H3Africa genotyping chip3
- Bioinformaticians3
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Biomedical researchers3
- 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
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- 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 researchers who need to undertake sequence searching as part of their work3
- analysis of complex microbiomes and antimicrobial resistance.3
- postdocs.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
- Beginner2
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
- Bioinformaticians and wet-lab biologists who can program in Perl.2
- Biophysicists2
- Cette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.2
- 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
- PhD candidates2
- Principal Investigators from the University of Cambridge2
- Researcher in life sciences2
- 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
- The workshop is suitable for scientists that are producing sequence data and require a platform to publish it2
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
- This course is aimed at researchers with no prior experience in the analysis of ChIP-seq data2
- 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
- health professionals2
- or will shortly have2
- pathways and diseases.2
- postdoc2
- 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
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- English2
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