RPPApipe

RPPApipe analyzes reverse-phase protein array (RPPA) data to perform preprocessing, statistical analysis, clustering, and pathway mapping for proteomic studies.

Key Features:

• Data Preprocessing: Cleans and normalizes raw RPPA data, addressing background noise and variability inherent in protein array datasets.
• Statistical Analysis: Applies advanced statistical methods to identify significant patterns and differences in protein expression.
• Clustering: Implements clustering algorithms to group similar protein expression profiles and identify subgroups.
• Pathway Analysis: Maps protein expression data onto known biological pathways to assess functional and mechanistic impacts.
• RPPA-specific Support: Provides analytical approaches tailored to the reverse-phase protein array platform distinct from gene-centered microarray analyses.

Scientific Applications:

• Cancer Biology: Enables investigation of protein expression and signaling alterations in cancer samples using RPPA data.
• Drug Discovery: Supports evaluation of drug effects on protein expression and pathway modulation.
• Proteomic Studies: Facilitates analysis of protein dynamics and biomarker discovery from complex proteomic datasets.

Methodology:

Implemented using R/Bioconductor; includes preprocessing (background correction and normalization), statistical analysis, clustering algorithms, and pathway analysis; embedded within the ZBIT Bioinformatics Toolbox (a customized Galaxy instance).