StarBioTrek

StarBioTrek analyzes pathway activity and cross-talk by integrating network data with multi-level molecular profiles, including DNA copy-number alterations, mRNA expression, and miRNA expression, to elucidate deregulated pathways in cancer.

Key Features:

• Pathway activity measurement: Quantifies pathway activity to identify deregulated biological functions in cancer.
• Pathway cross-talk analysis: Assesses interactions and cross-talk between pathways to characterize regulatory mechanisms.
• Network data integration: Integrates network data with molecular profiles to contextualize pathway alterations.
• Multi-level molecular integration: Combines DNA copy-number alterations, mRNA expression, and miRNA expression in analyses.
• Individual and combined analyses: Performs both single-data-type analyses and integrated multi-omics analyses.
• Candidate biomarker identification: Identifies candidate biomarkers relevant for diagnosis, prognosis, and therapy in cancer, including breast cancer.
• Integrative bioinformatics and statistical approach: Applies methods from biology, bioinformatics, and statistics to synthesize molecular and network data.
• Genetics and epigenetics emphasis: Emphasizes integration of genetic and epigenetic information to inform therapeutic hypotheses.

Scientific Applications:

• Cancer pathway analysis: Elucidates deregulated pathways and biological functions in cancer by integrating multi-omics and network data.
• Breast cancer research: Identifies candidate biomarkers and pathway alterations relevant to diagnosis, prognosis, and therapy in breast cancer.
• Regulatory mechanism discovery: Characterizes pathway cross-talk and regulatory interactions underlying cancer development.
• Personalized medicine and therapeutic target discovery: Supports generation of actionable hypotheses for targeted therapies by integrating genetics and epigenetics.

Methodology:

Integrates network data and computes pathway activity and cross-talk through individual and combined analyses of DNA copy-number alterations, mRNA expression, and miRNA expression using bioinformatics and statistical methods.