The use of microarray technology to perform parallel analysis of the
expression pattern of a large number of genes in a single experiment
has created a new frontier of medical research. The vast amount of
gene expression data generated from multiple microarray experiments
requires a robust database system that allows efficient data storage,
retrieval, secure access, data dissemination, and integrated data
analyses. To address the growing needs of microarray researchers
at Yale and their collaborators, we have built the Yale Microarray
Database (YMD). YMD is Web-accessible with the following features:
(i) a Web program that tracks DNA samples between source plates and
arrays, (ii) the capability of finding common genes/clones across
different array platforms, (iii) an image file server, (iv) laboratory-based
user management and access privileges, (v) project management, (vi)
template data entry, (vii) linking gene expression data to annotation
databases
for functional analysis. YMD is currently being used on a pilot basis
by several laboratories for different organisms and array platforms.
%0 Conference Paper
%1 Cheung:2002
%A Cheung, Kei-Hoi
%A White, Kevin
%A Hager, Janet
%A Gerstein, Mark
%A Reinke, Valerie
%A Nelson, Kenneth
%A Masiar, Peter
%A Srivastava, Ranjana
%A Li, Yuli
%A Li, Ju
%A Zhao, Hongyu
%A Li, Jinming
%A Allison, David B.
%A Snyder, Michael
%A Miller, Perry
%A Williams, Kenneth
%B Proc. of the American Medical Informatics Association 2002 Annual
Symposium
%D 2002
%J Proceedings of the American Medical Informatics Association 2002
Annual Symposium
%K imported
%P 140--144
%T YMD: A microarray database for large--scale gene expression analysis
%U http://papers.gersteinlab.org/papers/ymd/index-all.html
%X The use of microarray technology to perform parallel analysis of the
expression pattern of a large number of genes in a single experiment
has created a new frontier of medical research. The vast amount of
gene expression data generated from multiple microarray experiments
requires a robust database system that allows efficient data storage,
retrieval, secure access, data dissemination, and integrated data
analyses. To address the growing needs of microarray researchers
at Yale and their collaborators, we have built the Yale Microarray
Database (YMD). YMD is Web-accessible with the following features:
(i) a Web program that tracks DNA samples between source plates and
arrays, (ii) the capability of finding common genes/clones across
different array platforms, (iii) an image file server, (iv) laboratory-based
user management and access privileges, (v) project management, (vi)
template data entry, (vii) linking gene expression data to annotation
databases
for functional analysis. YMD is currently being used on a pilot basis
by several laboratories for different organisms and array platforms.
@inproceedings{Cheung:2002,
abstract = {The use of microarray technology to perform parallel analysis of the
expression pattern of a large number of genes in a single experiment
has created a new frontier of medical research. The vast amount of
gene expression data generated from multiple microarray experiments
requires a robust database system that allows efficient data storage,
retrieval, secure access, data dissemination, and integrated data
analyses. To address the growing needs of microarray researchers
at Yale and their collaborators, we have built the Yale Microarray
Database (YMD). YMD is Web-accessible with the following features:
(i) a Web program that tracks DNA samples between source plates and
arrays, (ii) the capability of finding common genes/clones across
different array platforms, (iii) an image file server, (iv) laboratory-based
user management and access privileges, (v) project management, (vi)
template data entry, (vii) linking gene expression data to annotation
databases
for functional analysis. YMD is currently being used on a pilot basis
by several laboratories for different organisms and array platforms.},
added-at = {2007-10-23T13:35:30.000+0200},
author = {Cheung, Kei-Hoi and White, Kevin and Hager, Janet and Gerstein, Mark and Reinke, Valerie and Nelson, Kenneth and Masiar, Peter and Srivastava, Ranjana and Li, Yuli and Li, Ju and Zhao, Hongyu and Li, Jinming and Allison, David B. and Snyder, Michael and Miller, Perry and Williams, Kenneth},
biburl = {https://www.bibsonomy.org/bibtex/2719d20a3814931639626b6ec84e5ae38/tkirsten},
booktitle = {Proc. of the American Medical Informatics Association 2002 Annual
Symposium},
interhash = {fa38e2b6bfd6a37835c177598a7452ae},
intrahash = {719d20a3814931639626b6ec84e5ae38},
journal = {Proceedings of the American Medical Informatics Association 2002
Annual Symposium},
keywords = {imported},
owner = {tkirsten},
pages = {140--144},
timestamp = {2007-10-23T13:35:33.000+0200},
title = {{YMD: A microarray database for large--scale gene expression analysis}},
url = {http://papers.gersteinlab.org/papers/ymd/index-all.html},
year = 2002
}