Software used during the course
| Software | Version (if not latest) | Module | Environment |
|---|---|---|---|
| Samtools | 1.19.2 | Mapping + Phylogeny / Genome Annotation | Conda base |
| BWA | 0.7.17 | Mapping + Phylogeny | Conda base |
| Snippy | 4.0.2 / 0.11.0 | Mapping + Phylogeny / Genome Annotation | conda activate snippy-env |
| IQ-TREE 2 | 2.4.0 | Mapping + Phylogeny | Conda base |
| Gubbins | 3.3+ | Mapping + Phylogeny | conda activate gubbins-env |
| FastBAPS | Command-line version | Mapping + Phylogeny | Conda base |
| FigTree | 1.4.4 | Mapping + Phylogeny | Conda base |
| ETE Toolkit | 3.1.3 | Mapping + Phylogeny | Conda base |
| Unicycler | 0.5.1 | Assembly Comparison | Conda base |
| Dragonflye | 1.2.1 | Assembly Comparison | conda activate dragonflye-env |
| QUAST | 5.3.0 | Assembly Comparison | conda activate quast-env |
| NUCmer | 3.23 | Assembly Comparison | Conda base |
| Google Chrome | Latest | Web Tools for GenEpi | System installation |
| Firefox | Latest | Web Tools for GenEpi | System installation |
| Artemis | 18.2.0 | Genome Annotation | Conda base |
| ACT | 18.1.x | Genome Annotation | Conda base |
| FastQC | 0.12.1 | Genome Annotation | Conda base |
| Trim Galore | 0.6.10 | Genome Annotation | conda activate ariba-env |
| ARIBA | 2.14.6 | Genome Annotation | conda activate ariba-env |
| SPAdes | 3.15.5 | Genome Annotation | Conda base |
| ABACAS | 1.3.1 | Genome Annotation | Conda base |
| BLAST+ | Latest installed | Genome Annotation | Conda base |
| Bakta | Latest installed | Genome Annotation | Conda base |
| RATT | Latest installed | Comparative Genomics | Conda base |
| Filtlong | 0.2.1 | Sequencing & QC | Conda base |
| NanoPlot | 1.44.1 | Sequencing & QC | Conda base |
| Roary | Latest installed | Pan-genome Analysis | conda activate roary-env |
| Panaroo | 1.1.2 | Pan-genome Analysis | conda activate panaroo-env |
| Docker | 28.2.2 | Containerisation | System installation |
| Kraken2 | Latest installed | Taxonomic Classification | conda activate kraken2-env |
| Kraken2 Standard-8 Database | 20260226 release | Taxonomic Classification | /home/vboxuser/databases/kraken2/standard8 |
Conda environments allow software and dependencies to be installed in isolated environments. This avoids version conflicts between tools and makes software easier to manage.
conda env listor
conda info --envsExample output:
# conda environments:
#
base * /home/vboxuser/miniconda3
snippy-env /home/vboxuser/miniconda3/envs/snippy-env
gubbins-env /home/vboxuser/miniconda3/envs/gubbins-env
kraken2-env /home/vboxuser/miniconda3/envs/kraken2-env
The * indicates the currently active environment.
Replace <env-name> with the desired environment name:
conda activate <env-name>Examples:
conda activate snippy-env
conda activate gubbins-env
conda activate kraken2-envconda activate baseconda deactivateThis returns you to the previous environment, typically base.
echo $CONDA_DEFAULT_ENVor
conda info --envsconda listwhich samtools
which snippy
which kraken2For installation and setup, please refer to the following guide:
- Oracle VM VirtualBox Installation Guide – Detailed instructions for installing and configuring VirtualBox on different operating systems. (Note: Separate installations are needed for Intel-based and ARM-based Macs, and the VDI files will differ.)
The Host Operating System Requirements are:
- RAM requirement: 8GB (preferably 12GB)
- Processor requirement: 4 processors (preferably 8)
- Hard disk space: 200GB
- Admin rights to the computer
The course data are free to reuse and adapt with appropriate attribution. All course data in these repositories are licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Each course landing page is assigned a DOI via Zenodo, providing a stable and citable reference. These DOIs can be found on the respective course landing pages and can be included in CVs or research publications, offering a professional record of the course contributions.
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