GeneBins: A database for classifying gene expression data, with application to plant genome arrays

Nicolas Goffard; Georg Weiller

doi:10.1186/1471-2105-8-87

GeneBins: A database for classifying gene expression data, with application to plant genome arrays

Nicolas Goffard, Georg Weiller^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

41 Citations (Scopus)

Abstract

Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG ontology. The GeneBins database currently supports the functional classification of expression data from four Affymetrix arrays; Arabidopsis thaliana, Oryza sativa, Glycine max and Medicago truncatula. An online analysis tool to identify relevant functions is also provided. Conclusion: GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http:// bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/.

Original language	English
Article number	87
Journal	BMC Bioinformatics
Volume	8
DOIs	https://doi.org/10.1186/1471-2105-8-87
Publication status	Published - 12 Mar 2007

Access to Document

10.1186/1471-2105-8-87

Cite this

@article{9c30abddd305477ea2e2f31a4c708be1,

title = "GeneBins: A database for classifying gene expression data, with application to plant genome arrays",

abstract = "Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG ontology. The GeneBins database currently supports the functional classification of expression data from four Affymetrix arrays; Arabidopsis thaliana, Oryza sativa, Glycine max and Medicago truncatula. An online analysis tool to identify relevant functions is also provided. Conclusion: GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http:// bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/.",

author = "Nicolas Goffard and Georg Weiller",

year = "2007",

month = mar,

day = "12",

doi = "10.1186/1471-2105-8-87",

language = "English",

volume = "8",

journal = "BMC Bioinformatics",

issn = "1471-2105",

publisher = "BioMed Central (BMC)",

}

TY - JOUR

T1 - GeneBins

T2 - A database for classifying gene expression data, with application to plant genome arrays

AU - Goffard, Nicolas

AU - Weiller, Georg

PY - 2007/3/12

Y1 - 2007/3/12

N2 - Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG ontology. The GeneBins database currently supports the functional classification of expression data from four Affymetrix arrays; Arabidopsis thaliana, Oryza sativa, Glycine max and Medicago truncatula. An online analysis tool to identify relevant functions is also provided. Conclusion: GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http:// bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/.

AB - Background: To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. Results: We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG ontology. The GeneBins database currently supports the functional classification of expression data from four Affymetrix arrays; Arabidopsis thaliana, Oryza sativa, Glycine max and Medicago truncatula. An online analysis tool to identify relevant functions is also provided. Conclusion: GeneBins provides resources to interpret gene expression results from microarray experiments. It is available at http:// bioinfoserver.rsbs.anu.edu.au/utils/GeneBins/.

UR - http://www.scopus.com/inward/record.url?scp=33947412321&partnerID=8YFLogxK

U2 - 10.1186/1471-2105-8-87

DO - 10.1186/1471-2105-8-87

M3 - Article

SN - 1471-2105

VL - 8

JO - BMC Bioinformatics

JF - BMC Bioinformatics

M1 - 87

ER -

GeneBins: A database for classifying gene expression data, with application to plant genome arrays

Abstract

Access to Document

Other files and links

Fingerprint

Cite this