bandle

bandle enables the Bayesian analysis and visualisation of differential subcellular localisation experiments using mass-spectrometry data.

Key Features:

• Mass-spectrometry data analysis: Provides Bioconductor infrastructure to analyse differential localisation experiments.
• Multi-method support: Supports dynamic LOPIT-DC, hyperLOPIT, Dynamic Organellar Maps, and Dynamic PCP experimental methods.
• Bayesian analysis: Implements Bayesian statistical methods for analysing differential subcellular localisation.

Scientific Applications:

• Differential localisation analysis: Identifies changes in protein subcellular localisation between experimental conditions.
• Organelle profiling: Analyses spatial proteomics data to map protein distributions across subcellular compartments.

Methodology:

Bayesian analysis of mass-spectrometry data from differential subcellular localisation experiments.