Resourcerer

Resourcerer enables cross-referencing of microarray expression data across species and experimental platforms to support comparative gene expression analyses and translational disease research.

Key Features:

• Cross-Species Data Integration: Enables comparison and analysis of microarray data across different species to identify conserved genes and pathways.
• Platform Agnosticism: Supports cross-referencing of data obtained from multiple expression analysis platforms to maintain consistency in comparative studies.
• Database Utilization: Leverages the TIGR Gene Index (TGI) and Eukaryotic Gene Orthologs (EGO) databases for gene sequences and orthologous alignments used in cross-species comparisons.
• EST Analysis: Incorporates expressed sequence tags (ESTs) to enhance annotation and identification of microarray probes.

Scientific Applications:

• Gene Expression Studies: Explore gene expression profiles across species to identify conserved genetic pathways and expression patterns.
• Disease Research: Cross-reference model organism and human microarray data to gain insights into molecular mechanisms underlying diseases and support identification of therapeutic targets.
• Comparative Genomics: Analyze orthologous genes across species to support evolutionary biology and comparative genomic investigations.

Methodology:

Integrates ESTs and gene sequences from the TIGR Gene Index (TGI) and Eukaryotic Gene Orthologs (EGO) databases and uses orthologous alignments to annotate and cross-reference microarray datasets for comparative analyses.