SAGEmap

SAGEmap provides a resource for analysis and interpretation of Serial Analysis of Gene Expression (SAGE) data by mapping SAGE tags to genes and supporting differential expression analyses.

Key Features:

• Gene Expression Data Repository: Public repository at NCBI that stores SAGE gene expression datasets and maintains standardized dataset records.
• SAGE Tag to Gene Assignments: Curated mappings of SAGE tags to specific genes to enable accurate gene-level expression profiling.
• Data Submission Procedures: Protocols and requirements that enforce standardized formats and quality criteria for submitted SAGE datasets.
• Statistical Analysis Tools: A statistical test specifically developed for differential-type analyses of SAGE data to support comparative expression studies.

Scientific Applications:

• Transcriptomics: Mapping SAGE tags to genes for global transcriptome profiling across samples.
• Differential Expression Analysis: Identifying differentially expressed genes between conditions using the provided statistical test.
• Disease Mechanism Studies: Detecting gene expression changes relevant to disease mechanisms.
• Developmental Biology: Characterizing temporal or tissue-specific gene expression patterns during development.
• Environmental Response Studies: Assessing gene expression responses to environmental stimuli.

Methodology:

Curated SAGE tag-to-gene assignment mappings and a statistical test for differential-type analyses of SAGE data.