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- Workshops and courses60
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- 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
- 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
- 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
- prokaryotic genomics and antimicrobial resistance.2
- Bioinformaticians and wet-lab biologists who can program1
- Biologists and bioinformaticians1
- Familiarity with mass spectrometry or proteomics in general is desirable1
- 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
- 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.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
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.1
- including lipids and metabolites.1
- network analysis1
- programming and bioinformatics tasks.1
- protein-protein interactions1
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