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RESOURCERER: a database for annotating and linking microarray resources within and across species

Jennifer Tsai, Razvan Sultana, Yudan Lee, Geo Pertea, Svetlana Karamycheva, Valentin Antonescu, Jennifer Cho, Babak Parvizi, Foo Cheung and John Quackenbush*

Author Affiliations

The Institute for Genomic Research, Rockville, MD 20850, USA

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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

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)].