South Green Bioinformatics platform's repositories
VcfHunter
VcfExplorer regroups several programs which principal aims are to map DNA and RNAseq data onto reference genome sequence, perform variant calling, manipulate vcf files, perform chromosome painting of accessions based on the contribution of ancestral groups, select marker for genetic map analysis and perform pairwise chromosome linkage of ordered markers.
AgroLD_webapp
AgroLD is a RDF knowledge base that consists of data integrated from a variety of plant resources and ontologies. The aim of the Agronomic Linked Data (AgroLD) project is to provide a portal for bioinformatics and domain experts to exploit the homogenized data models towards efficiently generating research hypotheses.
PanExplorer
Web application to explore bacterial pangenomes
galaxy-wrappers
Galaxy tools from South Green
training_reproducible_research
Training on Tools for Reproducible Research given by SouthGreen
PanExplorer_workflow
Snakemake worklow for bacterial pan-genome analysis. It can be run in the back-end of PanExplorer web application
training_bacterial_comparative_genomics
Trainings for Bacterial Comparative Genomics (https://southgreenplatform.github.io/training_bacterial_comparative_genomics/)
training_python
Python training given by SouthGreen (https://southgreenplatform.github.io/training_python)
AgroLD_ETL
AgroLD is a RDF knowledge base that consists of data integrated from a variety of plant resources and ontologies. AgroLD ETL is the Python packages developed to transform plant datasets in RDF. Packages are developped for data standards such as GFF,GAF, VCF and specific plant databases.
documentation
Documentation related to the SouthGreen Platform - https://southgreenplatform.github.io/documentation/
staff-info
Interactive SouthGreen Staff Information page
training_advanced_linux_and_bash_initiation
(https://southgreenplatform.github.io/training_advanced_linux_and_bash_initiation)
Curation-GBS-data
Coding data, filtering, correcting GE, (partial ) imputing, a
training_SV_VM
App TrainingSV: Biosphere BASE environment for SV analysis using Jupyter