RESOURCERER: a database for annotating and linking microarray resources within and across species
The Institute for Genomic Research, Rockville, MD 20850, USA
Genome Biology 2001, 2:software0002-software0002.4 doi:10.1186/gb-2001-2-11-software0002
Disclaimer: Whilst every effort is made by the authors, editors and publishers to ensure that the software performs as described, they accept no liability whatsoever for the consequences of downloading or using it.Published: 19 October 2001
Microarray expression analysis is providing unprecedented data on gene expression in humans and mammalian model systems. Although such studies provide a tremendous resource for understanding human disease states, one of the significant challenges is cross-referencing the data derived from different species, across diverse expression analysis platforms, in order to properly derive inferences regarding gene expression and disease state. To address this problem, we have developed RESOURCERER, a microarray-resource annotation and cross-reference database built using the analysis of expressed sequence tags (ESTs) and gene sequences provided by the TIGR Gene Index (TGI) and TIGR Orthologous Gene Alignment (TOGA) databases [now called Eukaryotic Gene Orthologs (EGO)].