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Target audience
- Everyone is welcome to attend the courses38
- please review the policies.38
- 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.7
- 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.4
- This course is aimed at students and researchers of any background.4
- This course is included as part of several DTP and MPhil programmes4
- We assume no prior knowledge of what a HPC is or how to use it.4
- Anyone who is using sequencing as part of their work and/or research.3
- The course is aimed at biologists interested in microbiology3
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes3
- Familiarity with mass spectrometry or proteomics in general is desirable2
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.2
- 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 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).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
- Attendees of our training courses on specific applications (e.g. RNA-seq1
- Biologists and bioinformaticians1
- ChIP-seq1
- HPC users who would like to learn how to manage software and automate and parallelise analyses using available pipelines.1
- No prior experience in the analysis of these types of data is required.1
- Researchers who are starting to run bioinformatics analysis on their own.1
- This course is aimed at researchers with an interest in metabolomics and its applications.1
- This workshop is aimed at researchers interested in proteins1
- analysis of complex microbiomes and antimicrobial resistance.1
- and related areas1
- etc.) will greatly benefit from this course.1
- network analysis1
- prokaryotic genomics1
- protein-protein interactions1
- variant calling1
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