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

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...

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Main Authors:	Tsai, Jennifer, Sultana, Razvan, Lee, Yudan, Pertea, Geo, Karamycheva, Svetlana, Antonescu, Valentin, Cho, Jennifer, Parvizi, Babak, Cheung, Foo, Quackenbush, John
Format:	Online
Language:	English
Published:	BioMed Central 2001
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138985/

id	pubmed-138985
recordtype	oai_dc
spelling	pubmed-1389852003-03-03 RESOURCERER: a database for annotating and linking microarray resources within and across species Tsai, Jennifer Sultana, Razvan Lee, Yudan Pertea, Geo Karamycheva, Svetlana Antonescu, Valentin Cho, Jennifer Parvizi, Babak Cheung, Foo Quackenbush, John Software Report 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)]. BioMed Central 2001 2001-10-19 /pmc/articles/PMC138985/ /pubmed/16173164 Text en Copyright © 2001 Tsai et al., licensee BioMed Central Ltd
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Tsai, Jennifer Sultana, Razvan Lee, Yudan Pertea, Geo Karamycheva, Svetlana Antonescu, Valentin Cho, Jennifer Parvizi, Babak Cheung, Foo Quackenbush, John
spellingShingle	Tsai, Jennifer Sultana, Razvan Lee, Yudan Pertea, Geo Karamycheva, Svetlana Antonescu, Valentin Cho, Jennifer Parvizi, Babak Cheung, Foo Quackenbush, John RESOURCERER: a database for annotating and linking microarray resources within and across species
author_facet	Tsai, Jennifer Sultana, Razvan Lee, Yudan Pertea, Geo Karamycheva, Svetlana Antonescu, Valentin Cho, Jennifer Parvizi, Babak Cheung, Foo Quackenbush, John
author_sort	Tsai, Jennifer
title	RESOURCERER: a database for annotating and linking microarray resources within and across species
title_short	RESOURCERER: a database for annotating and linking microarray resources within and across species
title_full	RESOURCERER: a database for annotating and linking microarray resources within and across species
title_fullStr	RESOURCERER: a database for annotating and linking microarray resources within and across species
title_full_unstemmed	RESOURCERER: a database for annotating and linking microarray resources within and across species
title_sort	resourcerer: a database for annotating and linking microarray resources within and across species
description	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)].
publisher	BioMed Central
publishDate	2001
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138985/
_version_	1611366345601974272

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

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