ArrayProspector: a web resource of functional associations inferred from microarray expression data

Research output: Contribution to journalJournal articlepeer-review

Standard

ArrayProspector : a web resource of functional associations inferred from microarray expression data. / Jensen, Lars Juhl; Lagarde, Julien; von Mering, Christian; Bork, Peer.

In: Nucleic Acids Research, Vol. 32, No. Web Server issue, 2004, p. W445-8.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Jensen, LJ, Lagarde, J, von Mering, C & Bork, P 2004, 'ArrayProspector: a web resource of functional associations inferred from microarray expression data', Nucleic Acids Research, vol. 32, no. Web Server issue, pp. W445-8. https://doi.org/10.1093/nar/gkh407

APA

Jensen, L. J., Lagarde, J., von Mering, C., & Bork, P. (2004). ArrayProspector: a web resource of functional associations inferred from microarray expression data. Nucleic Acids Research, 32(Web Server issue), W445-8. https://doi.org/10.1093/nar/gkh407

Vancouver

Jensen LJ, Lagarde J, von Mering C, Bork P. ArrayProspector: a web resource of functional associations inferred from microarray expression data. Nucleic Acids Research. 2004;32(Web Server issue):W445-8. https://doi.org/10.1093/nar/gkh407

Author

Jensen, Lars Juhl ; Lagarde, Julien ; von Mering, Christian ; Bork, Peer. / ArrayProspector : a web resource of functional associations inferred from microarray expression data. In: Nucleic Acids Research. 2004 ; Vol. 32, No. Web Server issue. pp. W445-8.

Bibtex

@article{897f9565754e4564b594a14eb6e9aea0,
title = "ArrayProspector: a web resource of functional associations inferred from microarray expression data",
abstract = "DNA microarray experiments have provided vast amounts of data which can be used for inferring gene function. However, most methods for predicting functional associations between genes from expression data are not suited to simultaneous analysis of multiple datasets, and a comprehensive resource of coexpression-based predictions is currently lacking. Here, we present an interactive web resource of gene associations predicted by applying a novel algorithm to all expression data in the Stanford Microarray Database. The underlying pre-computed database currently contains more than 200 000 high-confidence gene associations in 12 different species sampled from a broad taxonomic range. The resource allows every association to be inspected visually and can be accessed at http://www.bork.embl.de/ArrayProspector.",
author = "Jensen, {Lars Juhl} and Julien Lagarde and {von Mering}, Christian and Peer Bork",
year = "2004",
doi = "10.1093/nar/gkh407",
language = "English",
volume = "32",
pages = "W445--8",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "Web Server issue",

}

RIS

TY - JOUR

T1 - ArrayProspector

T2 - a web resource of functional associations inferred from microarray expression data

AU - Jensen, Lars Juhl

AU - Lagarde, Julien

AU - von Mering, Christian

AU - Bork, Peer

PY - 2004

Y1 - 2004

N2 - DNA microarray experiments have provided vast amounts of data which can be used for inferring gene function. However, most methods for predicting functional associations between genes from expression data are not suited to simultaneous analysis of multiple datasets, and a comprehensive resource of coexpression-based predictions is currently lacking. Here, we present an interactive web resource of gene associations predicted by applying a novel algorithm to all expression data in the Stanford Microarray Database. The underlying pre-computed database currently contains more than 200 000 high-confidence gene associations in 12 different species sampled from a broad taxonomic range. The resource allows every association to be inspected visually and can be accessed at http://www.bork.embl.de/ArrayProspector.

AB - DNA microarray experiments have provided vast amounts of data which can be used for inferring gene function. However, most methods for predicting functional associations between genes from expression data are not suited to simultaneous analysis of multiple datasets, and a comprehensive resource of coexpression-based predictions is currently lacking. Here, we present an interactive web resource of gene associations predicted by applying a novel algorithm to all expression data in the Stanford Microarray Database. The underlying pre-computed database currently contains more than 200 000 high-confidence gene associations in 12 different species sampled from a broad taxonomic range. The resource allows every association to be inspected visually and can be accessed at http://www.bork.embl.de/ArrayProspector.

U2 - 10.1093/nar/gkh407

DO - 10.1093/nar/gkh407

M3 - Journal article

C2 - 15215427

VL - 32

SP - W445-8

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - Web Server issue

ER -

ID: 40740684