VIZARD 1.2 – Affymetrix GeneChip® Data Analysis & Visualization

VIZARD 1.2

:: DESCRIPTION

VIZARD is a Java program for analysis and visualization of Affymetrix GeneChip® data.VIZARD includes several integrated tools for filtering, sorting, clustering and visualization of gene expression data as well as tools for discovery of regulatory motifs in upstream sequences. It also includes annotation and upstream sequence databases for the majority of genes represented on the Affymetrix Arabidopsis 8K GeneChip® array.

When VIZARD was created its name originated from VIsualiZe microARray Data. Now it does much more than visualization of gene expression data, however, we have decided to keep the name.

::DEVELOPER

Nick Moseyko

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

VIZARD

:: MORE INFORMATION

It is available free of charge for educational, research, and not-for-profit purposes. To read full text of the terms under which the program is distributed, click here.

Picky 2.2 – Optimal Oligonucleotide Design & Analysis

Picky 2.2

:: DESCRIPTION

Picky is an oligo design program that alleviates long and monotonous calculations by identifying probes that are very unique and specific to sequence regions. These calculations are based on parameters inputted by the user including optimal probe length, ideal percentage of guanine and cytosine content, salt concentration and the maximum length to which a target sequence matches any non-target sequence.

PICKY allows the rapid and efficient determination of gene-specific oligos based on given gene sets, and can be used for large, complex genomes such as human, mouse, or maize. PICKY can also be used to analyze existing microarray probes and evaluate their design quality. Because PICKY uses rigorous whole genome-based thermodynamic screening to identify potential hydrogen binding sites of each probe, it can also be utilized to design short interference RNA (siRNA) for gene knockout applications and to discover possible targets of regulatory short RNAs (e.g., microRNAs or sRNAs). Picky has exceptional computational capability and is also user friendly.

::DEVELOPER

Complex Computation Laboratory

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / Mac OsX

:: DOWNLOAD

Picky

:: MORE INFORMATION

Register for the free 64-bit Picky license.

Register for the free 32-bit Picky license.

If you find Picky useful to your research, please cite the Picky papers below that are most relevant to your work. If you have no preference, we recommend you cite the newest Shared Probe Design paper.

Shared probe design and existing microarray reanalysis using PICKY.
Chou HH.
BMC Bioinformatics. 2010 Apr 20;11:196.PMID: 20406469

Direct calibration of PICKY-designed microarrays.
Chou HH, Trisiriroj A, Park S, Hsing YI, Ronald PC, Schnable PS.
BMC Bioinformatics. 2009 Oct 23;10:347.PMID: 19849862

Picky: oligo microarray design for large genomes.
Chou HH, Hsia AP, Mooney DL, Schnable PS.
Bioinformatics. 2004 Nov 22;20(17):2893-902. Epub 2004 Jun 4.PMID: 15180932

Correlate 1.03 – Integrative Analysis of 2 Genomic Data Sets

Correlate 1.03

:: DESCRIPTION

Correlate is an Excel plug-in for performing an integrative analysis of two genomic data sets.

If two sets of assays (e.g. gene expression and DNA copy number) have been performed on the same set of patient samples then sparse CCA can be used to find a set of variables in assay 1 that is maximally correlated with a set of variables in assay 2.

::DEVELOPER

Sam Gross / Balasubramanian Narasimhan / Robert Tibshirani /Daniela Witten

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

Correlate

:: MORE INFORMATION

paper: Witten DM, Tibshirani R, and T Hastie (2009) A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics 10(3): 515-534

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)

GenePublisher 1.03 – Analysis of DNA Microarray Data

GenePublisher 1.03

:: DESCRIPTION

GenePublisher performs automated data analysis from gene expression experiments on a number of different platforms. This server accepts gene tables or Affymetrix CEL files as input, performs numerical and statistical analysis, links the results to various databases, and returns a report of the results. The input data is deleted immediately upon completion of the analysis unless you select the database option below.

::DEVELOPER

CBS (Center for Biological Sequence Analysis) at Technical University of Denmark

:: SCREENSHOTS

:: REQUIREMENTS

  • web browser

:: MORE INFORMATION

Input restrictions:

  • The input CEL files must be compressed with gzip (available from www.gzip.org) and cannot be more than 30 Mbytes in total size. That corresponds to 12 HuGeneFL chips, 10 HG_U95A chips, 22 Focus chips, 8 HG-U133A chips, and so on. The maximum number of chips accepted on this web server is currently 12. There is another server without input restrictions.
  • Avoid using characters _, &, %, # in the input as they may interfere with analysis.

For publication of results, please cite:

GenePublisher: Automated Analysis of DNA Microarray Data.
Knudsen, S., Workman, C., Sicheritz-Ponten, T., and Friis, C.
Nucleic Acids Research. Vol. 31, No. 13 3471-3476.

Array Tools 3.3 – Dictyostelium Discoideum Microarray Data Analysis

Array Tools 3.3

:: DESCRIPTION

Array Tools is a Microsoft Excel Add-In, which is designed to handle the import and export of Dictyostelium discoideum microarray data. It can be used to:

  • Import ScanArray Express CSV to Excel.
  • Export the data to R by creating Data.spot, R Commands. R and Arrays.txt files.
  • Re-importing data from R to Excel.
  • Exporting data to SAM

::DEVELOPER

Ludwig Eichinger

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

Array Tools

:: MORE INFORMATION

Contact:
Ludwig Eichinger
Institut für Biochemie Köln, Zentrum Biochemie
University of Cologne
http://www.uni-koeln.de/med-fak/biochemie/transcriptomics/

MAGIC Tool 2.1 – MicroArray Genome Imaging & Clustering Tool

MAGIC Tool 2.1

:: DESCRIPTION

MAGIC Tool is an integrated microarray data analysis software.

The purpose of MAGIC Tool is to allow the user to begin with DNA microarray tiff files and end with biologically meaningful information. Comparative hybridization data (glass chips) and Affymetrix data are compatible with MAGIC Tool. You can start with tiff files or expression files.

MAGIC Tool allows the user to change parameters for clustering, data quantification etc.

::DEVELOPER

Laurie Heyer

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows/Mac/ Linux/ UNIX
  • Java

:: DOWNLOAD

MAGIC Tool ;  User’s Guide

:: MORE INFORMATION

Free software with open source.

Paper: MAGIC Tool: Integrated microarray data analysis (Bioinformatics, 2005)

Venn Mapper 1.01 – Compare Heterologous Microarray Data Sets

Venn Mapper 1.01

:: DESCRIPTION

Venn Mapper is a program that cluster heterologous microarray data based on the number of co-occurring differentially expressed genes. The application loads microarray data (gene expression ratios) and determines which genes are up- or down-regulated by a user-defined ratio cut-off level. For each experiment, lists of differentially expressed genes are computed. Every list will be compared to every other list, and the number of co-occurring genes will be calculated. With the use of the binomial distribution, so called z-values can be assigned to the overlap found between two lists. The z-values can be directly imported into the Cluster and/or TreeView software.

::DEVELOPER

Marcel Smid

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows/ Other OS with Perl

:: DOWNLOAD

Venn Mapper for Win ; Perl Resource Code

:: MORE INFORMATION

Citation:

M. Smid ,L.C.J. Dorssers, G. Jenster, Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes, Bioinformatics (2003) 19 (16): 2065-2071.

ArrayMiner 5.3 – Microarray Gene Expression Data Analysis

ArrayMiner 5.3

:: DESCRIPTION

ArrayMiner® is a set of analysis tools using advanced algorithms to reveal the true structure of your gene expression data. Its unique graphical interface gives you an intimate understanding of the analysis and an easy publishing of its results.

ArrayMiner include clustering module & classmarking module.

::DEVELOPER

Optimal Design

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Mac OsX

:: DOWNLOAD

ArrayMiner Demo / Free Lite

:: MORE INFORMATION

In order to be eligible for the free light version, your institution must be academic. The light version is limited to 500 genes and 10 experiments for the clustering module and 500 genes for the ClassMarker tool. The light licence’s validity is 1 year.

Price List.

REDUCK 1.0 – Remove Duplicates

REDUCK 1.0

:: DESCRIPTION

REDUCK removes duplicate lines from a PCL file. Actually, it removes duplicate lines from any text file, but was intended for use with PCL files. Does exactly what it says; if the lines are not 100% identical, they are not removed.

::DEVELOPER

Falkow Lab

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Mac Os / Linux
  • Perl
  • TK

:: DOWNLOAD

REDUCK for WinSource Code

:: MORE INFORMATION

The software is copyrighted under the terms of the GNU General Public License. You can view this license at http://www.gnu.org/licenses/gpl.txt.

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