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EzArray specifications

Information


Unique identifier OMICS_14933
Name EzArray
Interface Web user interface
Restrictions to use None
Biological technology Affymetrix
Programming languages PHP, R
Database management system MySQL
License GNU General Public License version 3.0
Computer skills Basic
Stability Stable
Maintained No

Maintainer


This tool is not maintained anymore.

Information


Unique identifier OMICS_14933
Name EzArray
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Biological technology Affymetrix
Operating system Unix/Linux
Programming languages PHP, R
Database management system MySQL
License GNU General Public License version 3.0
Computer skills Medium
Stability Stable
Requirements
Bioconductor
Maintained No

Versioning


No version available

Maintainer


This tool is not maintained anymore.

Publication for EzArray

EzArray citations

 (5)
library_books

A reproducible approach to high throughput biological data acquisition and integration

2015
PeerJ
PMCID: 4493686
PMID: 26157642
DOI: 10.7717/peerj.791

[…] tool includes no facilities for normalization, integration, or meta-analysis of the resulting independent query responses. Finally, curated alternative data management and analysis platforms, such as EZArray (), BxArrays™, and ONCOMINE (), provide web interfaces in which a user may perform only pre-selected analyses of the provided gene expression datasets. Another open data management and access […]

library_books

Managing and querying gene expression data using Curray

2011
BMC Proc
PMCID: 3090758
PMID: 21554758
DOI: 10.1186/1753-6561-5-S2-S10

[…] , researchers have viewed such analysis as distinct applications as opposed to data manipulation within the gene expression “database” in its traditional sense.LIMS systems such as BASE [], MIMAS [], EzArray [], and ArrayTrack [] process raw expression data to bring it to the level where differential expression analysis can be performed. This step is usually called the pre-expression analysis. In […]

library_books

PathEx: a novel multi factors based datasets selector web tool

2010
BMC Bioinformatics
PMCID: 2978222
PMID: 20969778
DOI: 10.1186/1471-2105-11-528

[…] ray data.Several tools proposed are mainly either retrieval tools (Microarray Retriever (MaRe) []) or full integrated but manufacturer-oriented analysis tools (combining retrieval and analysis tools: EzArray [] and SiPaGene []). However, none have the enhanced ability to allow researchers to automatically select data of interest by focusing on certain biological factors that were not necessarily t […]

library_books

Microarray meta analysis database (M2DB): a uniformly pre processed, quality controlled, and manually curated human clinical microarray database

2010
BMC Bioinformatics
PMCID: 2928207
PMID: 20698961
DOI: 10.1186/1471-2105-11-421

[…] to download raw data files (CEL files) and QC metrics to local computers or to transfer them to public analysis web servers, such as WebArrayDB [], CARMAweb [], Expression Profiler [], GEPAS [], and EzArray [], which allow user upload CEL files, for more advanced meta-analysis.MIAME 2.0 now requests authors to deposit their raw data files in public microarray depositories. This policy will greatl […]

library_books

Pomelo II: finding differentially expressed genes

2009
Nucleic Acids Res
PMCID: 2703955
PMID: 19435879
DOI: 10.1093/nar/gkp366

[…] me procedures as Pomelo II, but few offer as comprehensive a set of analysis as Pomelo does. Most tools are limited to two-class comparisons. Multi-class comparisons are only available from EMAAS (), EzArray (), GenePublisher (), WebArray () and GEPAS (). Survival analysis and regression are only available in GEPAS (), but GEPAS is not open source. Contingency tables, however, are not available in […]

Citations

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EzArray institution(s)
Research and Development, BioInfoRx, Inc, Middleton, WI, USA; Department of Oncology, Georgetown University, Washington DC, USA; Department of Oncology, University of Wisconsin-Madison, Madison, WI, USA
EzArray funding source(s)
This work was supported in part by Susan Komen Breast Cancer Foundation grant number BCTR95306.

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