Kegg
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Advanced Pathway Painter v.2 26
This freeware program visualizes pathways (KEGG, GenMAPP, BioCarta...). The user has the possibility to display any kind of quantitative data from gene and protein experiments (e.g.
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Blast2KEGG v.1.0 Alpha
Enhanced Pathways Prediction from Nr and ENZYME Nomenclature Database. Blast2KEGG picks the enzymes from predicated genes, and performs fuzzy matching from enzyme name to EC number. It is consisted of a KEGG viewer, an annotation editor,
PAICE v.2.90
PAICE (Rapid pathway visualization) is a pathway-visualization tool to help you with your work. PAICE is a rapid bioinformatics pathway visualization tool for KEGG-compatible accessions derived from Illumina Solexa next-gen and Affymetrix datasets.
BioPathXplore v.1.0
BioPathXplore is a Bioinformatics Pathway eXploration tool for the visualization and exploration of biological pathways through the integration of KEGG pathways and high throughput data, using Petri nets.
Biological Network Comparison Toolkit v.1.0
A tool to construct the metabolic networks from KEGG, and compare the constructed metabolic networks.
SBMLforge v.rc
SBMLforge is a tool that enables the user to convert and merge KEGG metabolic and signaling pathways (KGML format) to create a single SBML pathway model.
GENOM 2005
A program to analyse microarray-experiments (e.g. affymetrix). A very complex any easy to use application with alot of functions like function-prediction, 3D-Views and GO-Analysis and alot more. You get a full suite to analyse your experiment and pay so
BMDExpress v.1 4
BMDExpress is a Java application used to analyze dose-response data from microarray experiments.
ESOMet v.1.0
Hierarchical cluster analysis made easy.
MetaQuant v.1.3.5
GC/MS based metabolome data analysis made easy. MetaQuant is a Java based software for the automatic and accurate quantification of GC/MS based metabolome data.
Cytoscape x64 v.3.0.0
Cytoscape x64 is an open source bioinformatics software platform for visualizing molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.