Proteomic data

Create interactive, reproducible views of omics datasets with the iSEE Bioconductor framework. Participants configure linked panels, inspect bulk and single-cell RNA data and preserve exploratory workflows. Guided cookbook exercises progress to independent exploration, collections of datasets and participants’ own projects, with troubleshooting and companion-package demonstrations. The framework also supports spatial and proteomic data represented by SummarizedExperiment objects. Sessions: 25–26 November, 13:00–17:00 daily, Europe/Berlin (CET, UTC+01:00). Live online training; fee €280. For

…analysis of transcriptomic and proteomic data. It is designed for biologists and biochemists beginning to use sequencing and mass spectrometry, rather than specialists in either method. Participants study RNA-seq quantification and differential expression, protein identification and quantification, annotation and statistical evaluation. Software training includes SearchGUI, PeptideShaker and DiaNN; Cytoscape is used to integrate measurements and explore complementary information about gene and protein expression. The course connects p

Integrate phenomic, transcriptomic, genomic and proteomic data to nominate targets and validate immunology and inflammatory-disease hypotheses. Work includes target evidence packages, early patient-population strategies and mechanism-of-action analysis in collaboration with experimental and computational drug-discovery teams.