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- University of Cambridge Bioinformatics Training44
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Keyword
- HDRUK44
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Scientific topic
- Bioinformatics19
- Data rendering15
- Data visualisation15
- Data mining9
- Pattern recognition9
- Comparative transcriptomics6
- Functional genomics6
- Transcriptome6
- Transcriptomics6
- Aerobiology3
- Behavioural biology3
- Biological rhythms3
- Biological science3
- Biology3
- Chronobiology3
- Cryobiology3
- Phylogenetics3
- Python3
- Python program3
- Python script3
- Reproductive biology3
- py3
- AMR2
- Antibiotic resistance (ABR)2
- Antifungal resistance2
- Antimicrobial resistance2
- Antiprotozoal resistance2
- Antiviral resistance2
- Bottom-up proteomics2
- Chromosome walking2
- Clone verification2
- DNA-Seq2
- DNase-Seq2
- Discovery proteomics2
- Extensive drug resistance (XDR)2
- High throughput sequencing2
- High-throughput sequencing2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- Multidrug resistance2
- Multiple drug resistance (MDR)2
- Multiresistance2
- NGS2
- NGS data analysis2
- Next gen sequencing2
- Next generation sequencing2
- Pandrug resistance (PDR)2
- Panels2
- Peptide identification2
- Primer walking2
- Protein and peptide identification2
- Proteomics2
- Quantitative proteomics2
- Sanger sequencing2
- Sequencing2
- Targeted next-generation sequencing panels2
- Targeted proteomics2
- Top-down proteomics2
- Total drug resistance (TDR)2
- Coding RNA1
- EST1
- Exometabolomics1
- Exons1
- Fusion genes1
- Fusion transcripts1
- Gene features1
- Gene structure1
- Gene transcript features1
- Gene transcripts1
- Introns1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based untargeted metabolomics1
- Mass spectrometry-based metabolomics1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- NMR-based metabolomics1
- PolyA signal1
- PolyA site1
- Protein structure1
- Protein structure analysis1
- Protein tertiary structure1
- Signal peptide coding sequence1
- Transit peptide coding sequence1
- cDNA1
- mRNA1
- mRNA features1
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Event type
- Workshops and courses
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Venue
- Craik-Marshall Building
- European Bioinformatics Institute, Hinxton16
- Ghent - VIB/UGent FSVM II, Technologiepark 7514
- Leuven - Campus Gasthuisberg, Herestraat 497
- Leuven - Park Inn by Radisson, Martelarenlaan 363
- online3
- Brussels - HOEK 38, Leuvenseweg 382
- VIB HQ, Suzanne Tassierstraat 12
- Wageningen2
- 17. listopadu 1192/12, 12 17. listopadu1
- 7 avenue Blaise Pascal1
- Amsterdam UMC1
- Brussels - SciMingo Office, Leopoldstraat 61
- Brüderstraße 34, 34 Brüderstraße1
- Freiburg im Breisgau1
- Ghent - Bio-Accelerator Meeting Center, Technologiepark 211
- Gießen1
- Kassel1
- Keilaranta 141
- Life Science Center, keilaranta 141
- Magdeburg1
- Palacky University Olomouc (UPOL) Faculty of Science tř. 17. listopadu 12, Olomouc 77900, Czech Republic room 3.0021
- SciLifeLab Uppsala - Navet, Husargatan 31
- Tomtebodavägen 23A Solna, Sweden1
- UPC Campus Nord1
- University of Freiburg, Werthmannstrasse 41
- the University Campus Bohunice (Masaryk University)1
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Country
- United Kingdom44
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Organizer
- University of Cambridge44
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Target audience
- Everyone is welcome to attend the courses34
- please review the policies.34
- 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.4
- Anyone who is using sequencing as part of their work and/or research.2
- Familiarity with mass spectrometry or proteomics in general is desirable2
- 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.2
- The course is aimed at biologists interested in microbiology2
- 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.2
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes2
- This course is aimed at students and researchers of any background.2
- This course is included as part of several DTP and MPhil programmes2
- We assume no prior knowledge of what a HPC is or how to use it.2
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.2
- prokaryotic genomics and antimicrobial resistance.2
- Bioinformaticians and wet-lab biologists who can program1
- Biologists and bioinformaticians1
- No prior experience in the analysis of these types of data is required.1
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.1
- Please review the policies.1
- This course is aimed at researchers dealing with or planning to perform chemical analysis.1
- This course is aimed at researchers with an interest in metabolomics and its applications.1
- 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).1
- This course is aimed at researchers working on environmentally relevant samples or complex organic matrices of any kind1
- This course is targeted at life scientists who would like to explore how AI chatbots can be used to support their data analysis1
- This workshop is aimed at researchers interested in proteins1
- and related areas1
- including lipids and metabolites.1
- network analysis1
- programming and bioinformatics tasks.1
- protein-protein interactions1
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