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- University of Cambridge Bioinformatics Training86
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Keyword
- HDRUK86
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Scientific topic
- Aerobiology
- Bioinformatics355
- Data rendering147
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- Python18
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- Coding RNA15
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- Gene features15
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- PolyA signal15
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- Transit peptide coding sequence15
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- Bioimaging14
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- MS-based targeted metabolomics13
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- Metabolites13
- Metabolome13
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- ChIP-exo12
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- Genome annotation12
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- DNA methylation9
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- Methylation profiles9
- Research data management (RDM)9
- Epigenomics8
- Pipelines7
- Software integration7
- Tool integration7
- Tool interoperability7
- Workflows7
- Bottom-up proteomics5
- Discovery proteomics5
- High-throughput sequencing5
- MS-based targeted proteomics5
- MS-based untargeted proteomics5
- Metaproteomics5
- Peptide identification5
- Protein and peptide identification5
- Protein structure5
- Protein structure analysis5
- Protein tertiary structure5
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Event type
- Workshops and courses86
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Country
- United Kingdom86
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Target audience
- Graduate students79
- Institutions and other external Institutions or individuals79
- Postdocs and Staff members from the University of Cambridge79
- 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
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.5
- Familiarity with mass spectrometry or proteomics in general is desirable4
- 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
- Everyone is welcome to attend the courses3
- please review the policies.3
- 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. Familiarity with mass spectrometry or proteomics in general is desirable1
- The tutorial will be at an introductory level1
- The tutorial will be of interest to computational biologists who use1
- This is aimed for life scientists with little or no experience in long-read sequencing that are looking at implementing these approaches in their research.1
- but will also describe current research directions and challenges that will be of broad interest to researchers in computational biology.1
- produce or analyse large structured datasets.1
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- First come first served4
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