Build a complete bioinformatics skillset
Go all in on bioinformatics! Our all access pass grants you access to all four of our bioinformatics courses, giving you the complete training pathway from core R skills through to advanced omics, statistics and command line bioinformatics. Designed for wet-lab scientists who want to build real confidence analysing their own data.
Save 10% by enrolling with this bundle!
The courses are delivered by the Glasgow Bioinformatic Core, which has over 18 years’ experience in bioinformatic analysis and lecturing, and is perfectly positioned to help you master bioinformatics and R skills.
You will get:
- Low-cost training, significantly more affordable than other courses
- Sought-after skills that will expand your career prospects – add it to your CV!
- Confidence to carry out bioinformatic data analysis of your own, or public datasets
And much more!
This bundle includes:
Omic data analysis and visualisation using R
Course details
Designed for wet-lab scientists, this top-rated course is essential for complete beginners and covers:
- Theory of library preparation, sequencing and data processing for bulk, single cell and spatial omics
- Introduction to R and Rstudio, how to handle data in R
- Extensive theory and practical computer sessions in omic data analysis using R
- Lessons on making beautiful plots using R, e.g. PCA, heatmap, violin, MA, volcano, gene-set enrichment, gene ontologies, pathway analysis, and more
- Providing all the tools needed for you to do your own analysis of any omic dataset
Who signs up for this training?
Wet-lab scientists…
- With little or no previous experience in bioinformatics
- Doing or planning on doing an omic experiment as part of a project
- Keen to learn R and bioinformatics to advance their career, for example after finishing a PhD or in future post-docs
- Who need to understand omics in the current literature
- Who’ve been on a course but are missing the practical skills and confidence to put it to use
Further omics, statistics and clinical data in R
Course details
Designed for wet-lab scientists, this top-rated course is an advanced course designed for wet-lab immunologists, biologists and other life scientists who have some experience (for example, have completed our beginners 'Omic data analysis and visualisation using R' course) and want to learn about:
- Exploring clinical data using R. Summary statistics, P-values, linear models, survival curves, correlation, PCA
- Identifying confounding covariates and correcting for batch effects
- Generating differential expression tables for RNA and Proteomic datasets
- Writing your own functions in R - a time-saving superpower
- Power calculations for grant bids
- Deeply exploring omic datasets with >2 groups. Using biomarker, overlap & signature analysis, and identifying novel groups using K-means clustering
Alongside the core content, you’ll also build experience in:
- The Linux environment and command-line coding
- Sequence alignment using BLAST, Bowtie2, Kallisto and Cell Ranger
- QC of sequence data
- ChIP-seq and ATAC-seq
- RNA-seq data alignment
- Identifying polymorphism and mutation
- Generating and visualising phylogenetic trees
- Writing pipelines
- Data structures in R
- The TidyVerse and R markdown
Who signs up for this training?
Wet-lab scientists…
- Who have completed our entry level course ‘Omics, bioinformatics & R for biologists’ or have comparable experience
- Keen to further develop their knowledge and skills into more advanced analysis
- Who are thinking of doing omic experiments throughout their career and would like the skills to be wholly independent
- Who need to understand omics in the current literature
Essential command line bioinformatics
Course details
The course is designed for wet-lab immunologists, biologists and other life scientists who have some experience, covering Linux and the command line, plus all of the typical tools and pipelines used in command-line omics, particularly genomics. This includes:
- The Linux environment and command-line coding
- Sequence alignment using BLAST, Bowtie2 and Kallisto
- QC of sequence data
- Writing pipelines
- How to call polymorphisms and mutations, and visualising them in R (circos, oncoplot)
- Generating and visualising phylogenetic trees
- ChIP-seq and ATAC-seq
- RNA-seq alignment
Who signs up for this training?
Wet-lab scientists…
- Who have attended the first course ‘Omic data analysis and visualisation using R’ or have a comparable level of experience
- Doing or planning on doing an omic experiment as part of a project
- Planning to analyse omic datasets regularly throughout their future career
- Exploring or planning to explore their own genomic or epigenomic datasets
- Keen to learn R and bioinformatics to advance their career, for example after finishing a PhD or in future post-docs
- Who need to understand omics in the current literature
Single cell and spatial omics
Course details
Designed for wet-lab scientists, this top-rated course is an advanced course designed for wet-lab immunologists, biologists and other life scientists who have a basic familiarity with R and want to learn about:
- The theory behind widely used single cell and spatial RNA technologies
- The Seurat package and objects
- QC, doublet removal, PCA, UMAP, clustering, cell identification, cell frequencies
- Handling replicates using integration
- Differential expression and pseudo-bulk
- Putative ligand / receptor interactions
- Trajectory analysis
- CITE-seq / antibody capture
- Visualisation and exploration, sub setting and re-clustering
- CytAssist (Visium HD), CosMx and Xenium spatial analysis
- Spatial niches, custom regions and molecules.
Who signs up for this training?
Wet-lab scientists…
- Who have a basic familiarity with R and RStudio, or have completed our entry level course ‘Omics, bioinformatics & R for biologists’
- Who are thinking of doing single cell or spatial analysis
- Keen to further develop their knowledge and skills into this cutting edge field
- Who need to understand omics in the current literature
Start the course
The British Society for Immunology offers this course at a discount to all BSI members. You can sign up to become a member online. BSI members also benefit from discounts on fees for BSI events, as well as free access to our journals, grants, career development activities and much more.
| Fee | |
|---|---|
| BSI member | £1,300 + VAT |
| Non-member | £2,600 + VAT |
