ExpressConverter 2.1 – Microarray Data Files Transformation Tool

ExpressConverter 2.1

:: DESCRIPTION

ExpressConverter is a file transformation tool that reads microarray data files in a variety of file formats and generates TIGR MultiExperiment Viewer file (.mev) as output so that the microarray data can be uploaded to the database with MADAM and analyzed with MIDAS and MEV.

::DEVELOPER

Dana-Farber Cancer Institute

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX / Windows

:: DOWNLOAD

 ExpressConverter

:: MORE INFORMATION

A-MADMAN 1.4 – Annotation-based Microarray Data Meta-ANalysis tool

A-MADMAN 1.4

:: DESCRIPTION

A-MADMAN (Annotation-based MicroArray DataMeta ANalysis tool) is an open source web application and gene chip analysis automation framework for annotation-based  meta-analysis of data from public repositories (NCBI GEO).

::DEVELOPER

COMPUTATIONAL GENOMICS LABORATORY, Department of Biology, University of Padova, Italy.

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

 A-MADMAN

:: MORE INFORMATION

Citation:

Bisognin A, Coppe A, Ferrari F, Risso D, Romualdi C, Bicciato S, Bortoluzzi S.
A-MADMAN: Annotation-based microarray data meta-analysis tool.
BMC Bioinformatics. 2009 Jun 29;10:201

ArrayPipe 1.7 – Processing & Analysis of Microarray Data

ArrayPipe 1.7

:: DESCRIPTION

ArrayPipe is a web-based or standalone tool for the processing and analysis of microarray data. It provides functions for data visualization, background correction, normalization, detections of differentially expressed genes, comparison and highlighting of gene lists, as well as web-based spreadsheets for data mining.

ArrayPipe Online Version

::DEVELOPER

Brinkman Laboratory, Simon Fraser University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 ArrayPipe

:: MORE INFORMATION

Citation

Hokamp K, Roche FM, Acab M, Rousseau ME, Kuo B, Goode D, Aeschliman D, Bryan J, Babiuk LA, Hancock RE, Brinkman FS.
ArrayPipe: a flexible processing pipeline for microarray data.
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W457-9. PMID: 15215429

EVE v04 – Detect Differentially Expressed Genes using Microarray Data

EVE v04

:: DESCRIPTION

EVE (External Variance Estimation) is an software to detect differentially expressed genes using microarray data.You can download an R-script that works for data from the Affymetrix ATH1 GeneChip® microarray.

::DEVELOPER

Gruissem laboratory at the Institute of Plant Sciences

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

EVE

:: MORE INFORMATION

Citation

Wille, A., Gruissem, W., Bühlmann, P., Hennig, L. (2007)
EVE – External Variance Estimation increases statistical power for detecting differentially expressed genes.
Plant J 52, 561-569

maxd 2.0 – Storage & Analysis of Microarray Data

maxd 2.0

:: DESCRIPTION

maxd is a data warehouse and visualisation environment for genomic expression data.maxd is made up of two software components:

maxdLoad2, for data storage, annotation and export,

maxdView, for data visualisation and analysis.

::DEVELOPER

Microarray Bioinformatics Group at the University of Manchester

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows / Max OS X
  • JAVA

:: DOWNLOAD

maxd

:: MORE INFORMATION

The software is released under the terms of the Perl Artistic Licence .

MAGNOLIA 1.2 – Microarray Data Management & Export System for PFGRC Microarrays

MAGNOLIA 1.2

:: DESCRIPTION

Magnolia is a microarray data management and export system for researchers who use PFGRC microarrays. Since it has been an obligation to submit microarray experiment data to public repositories for publishing the experimental results, collecting and storing the data is an essential step in microarray study. Implemented with H2 DBMS as the backend storage, Magnolia provides PFGRC array users with a series of intelligent entry form to collect the information or parameters of experiment, bio-source, sample, probe, slide, scan, expression, and normalization, which is MIAME compliant.

::DEVELOPER

J. Craig Venter Institute

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows / Mac OsX
  • JAVA

:: DOWNLOAD

MAGNOLIA

:: MORE INFORMATION

This application is released under the GPL v3 License: View License

Contact the PFGRC’s Magnolia Development Team by email: magnolia@jcvi.org

GeneXplorer 0.11 – Microarray Data Web Browser

GeneXplorer 0.11

:: DESCRIPTION

GeneXplorer is a web application for interactive microarray data visualization and analysis in a web environment. GeneXplorer allows users to browse a microarray dataset in an intuitive fashion. It provides simple access to microarray data over the Internet and uses only HTML and JavaScript to display graphic and annotation information. It provides radar and zoom views of the data, allows display of the nearest neighbors to a gene expression vector based on their Pearson correlations and provides the ability to search gene annotation fields.

::DEVELOPER

Gavin Sherlock etc.

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

GeneXplorer

:: MORE INFORMATION

Citation

Rees, C.A., Demeter, J., Matese, J.C., Botstein, D. and Sherlock, G. (2004).
GeneXplorer: an interactive web application for microarray data visualization and analysis.
BMC Bioinformatics 5:41.

ENIGMA 1.1 – Extract Gene Expression Modules from Perturbational Microarray Data

ENIGMA 1.1

:: DESCRIPTION

ENIGMA – Expression Network Inference and Global Module Analysis. It is a software tool to analyze the modular structure of perturbational gene expression data, based on the use of combinatorial statistics and graph-based clustering. The modules are further characterized by incorporating other data types, e.g. GO annotation, protein interactions and transcription factor binding information, and by suggesting regulators that might have an effect on the expression of (some of) the genes in the module.

::DEVELOPER

VIB (Flanders Interuniversitary Institute for Biotechnology)
Bioinformatics and Evolutionary Genomics Research Group at Ghent University

:: SCREENSHOTS

Command Line Tool

:: REQUIREMENTS

:: DOWNLOAD

ENIGMA

:: MORE INFORMATION

If you use ENIGMA in your research, please cite:

Steven Maere, Patrick Van Dijck, Martin Kuiper (2008) Extracting expression modules from perturbational gene expression compendia. BMC Systems Biology 2:33 (PubMed,  BMC)

NIA Array Analysis Tool 2.0 – Statistical Significance Analysis of Microarray Data

NIA Array Analysis Tool 2.0

:: DESCRIPTION

NIA Array Analysis Tool is designed to test statistical significance of gene microarray data, visualize the results, and provide links to clone information and gene index.

  • Evaluate the statistical significance of differential gene expression based on microarray data
  • Make log-ratio plots and scatter-plots
  • Find clusters of tissues with similar expression patterns and identify specific genes for each cluster
  • Find major patterns of variability in gene expression using Principal Component Analysis (PCA) and biplot
  • Cluster genes according to their contribution to principal components
  • Find genes whose expression matches a given pattern (pattern matching)
  • Plot the dendrogram for replications to check abnormal arrays
  • Plot the error function (SD vs. expression level)
  • Make a correlation matrix
  • Normalize input data
  • Import principal components from an earlier analysis to overlay 2 sets of results
  • Save results of analysis for personal or public access

Arrayjoin Tool is designed for compiling an input file from multiple scanner files.

ANOVA Tool – Statistical analysis is based on the single-factor ANalysis Of VAriance

Hierarchical clustering of tissues is done using the average distance method.

Principal component analysis (PCA) is done using the Singular Value Decomposition (SVD) method that generates eigenvectors both for rows and columns of the log-transformed data matrix (Gabriel 1971.

Pattern matching can be used to find genes with expression pattern similar to some other gene (or group of genes).

Gene list analysis – Getting information on selected genes is one of most important components of microarray analysis.

::DEVELOPER

Laboratory of Genetics, National Institute on Aging,  NIH

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

NIA Array Analysis Tool

:: MORE INFORMATION

Reference:
Sharov, A.A., Dudekula, D.B., Ko, M.S.H. 2005. A web-based tool for principal component and significance analysis of microarray data. Bioinformatics, 21(10): 2548-9. Epub 2005 Feb 25. PMID: 15734774

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