DNA/Genome engineering with Geneious (for advanced users)

Wednesday 17 Apr 2024, 09:00 → 17:00 Europe/Berlin

CSBD SR Ground Floor (CSBD)

Mihail Sarov (Max Planck Institute of Molecular Cell Biology and Genetics)

What is Geneious?

Geneious is an extremely versatile sequence analysis and manipulation package that covers a wide range of tasks - from routine things like PCR design, cloning, sequence alignments to advanced NGS data processing. It is available to anyone at the MPG  but sadly a lot of people are unaware of it or what it has to offer, which is the reason for this course.

Main advantages of Geneious:

- the ability to store the data on a shared server space, which allows collaborative work on the same file(s) and makes it very simple to keep track of and reuse plasmids, primers etc. within the same lab or to share them with colleagues.
- many of the tools in Geneious are open source algorithms packaged into an easy to use interface, combining simplicity with full control over how your data is handled.
- the software is supported by the MPI-CBG Scientific Computing Facility, and they can develop custom plugins for specialised tasks.

Who is this course intended for:

Students, postdoc and technicians who participated in the Genious for begginers course or alread have some expereince with Geneious but would like to learn some of the more advanced features (see below for a full list of topics covered). 

What if I am already using other tool(s) for the same tasks like ApE, SnapGene, MacVector, CLC, GCK etc. etc.?

It is very likely that you will leave them behind, once you see what Geneious has to offer. Don’t worry, you can take your data with you.

Topics covered in the course:

1. Codon adaptation analysis and optimisation
2. Golden gate cloning
3. Gateway cloning
4. Gibson assembly and CPEC cloning
5. Genome engineering with CRISPR/Cas
6. Using workflows to automate routine tasks
7. Brief overview of other useful features that will not be covered in the practical exercises: NGS data processing, genome assembly, phylogenetic analyses; custom plugins

Price: 200 euro