RESOURCERER: a database for annotating and linking microarray resources within and across species |
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| Authors: | Jennifer Tsai Razvan Sultana Yudan Lee Geo Pertea Svetlana Karamycheva Valentin Antonescu Jennifer Cho Babak Parvizi Foo Cheung John Quackenbush |
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| Affiliation: | (1) The Institute for Genomic Research, Rockville, MD 20850, USA |
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| Abstract: | 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)]. |
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