Microarray, SAGE and other gene expression data analysis tools
A light-weight multi-method clustering engine for microarray gene-expression data.
Infer a framework of regulatory networks from a large number of gene expression profiles.
Perform automated genetic mapping on a fixed framework map.
A web-based interface to detect outlying genechips with extreme studentized deviate tests.
A software tool to characterize Affymetrix GeneChip expression arrays with respect to SNPs.
Explore redefined Affymetrix microarray data.
Conduct protein classification, expression analysis and SNP function screening.
Identify co-expressed genes based on n a large Arabidopsis thaliana microarray data set.
Automatically apply of complex analyses to microarray data ranging from single slides to large data sets including replicates and dye-swaps.
Integrates various forms of microarray data from diverse annotation and primary data sources.
Use a web-based Linux platform to implement DNA microarray data analysis programs.
Map and visualize microarray gene-expression data for integrated biological pathway resources using Scalable Vector Graphics (SVG).
Suite of web tools for the functional profiling of genome scale experiments.
A useful tool for DNA methylation analysis.
Compare temporal gene expression pattern from different samples.
Software tool for bicluster detection and visualization.
A visualization technique to simultaneously represent all biclusters.
Perform comprehensive analysis of microarray data.
Analyze microarray and promoter data to infer transcriptional regulatory network.
Normalize array comparative genomic hybridization (aCGH) data.
A web-based tool that applies a number of popular algorithms to a single array CGH profile entered by the user.
A program for locating copy number variations in a single genome.
Find the conserved Transcription Factor Binding Sites (TFBS) in the promoter regions of the genes of given Human genes and the corresponding Mouse homolog.
Conduct multi-facet analysis of composite regulatory signature by transcription factors and microRNA on gene expression.
Understand the relationship between pathways and gene expression.
Perform automated comprehensive analyses of promoter regulatory motifs and the effect they exert on mRNA expression profiles.
A tool that takes your data on differential gene expression (i.e. SAGE or microarray data) and predicts additional molecules which may be of importance.
Visualization, normalization and significance testing for pathogen-detection microarray data.
Find information about alternative splicing events.
Search for annotated information about gene structure, function and expression, and alternative splicing events.
Perform high throughput annotation of expressed sequence tags (ESTs).
A data integration and visualization tool to facilitate data analyses, visual validation, and hypothesis generation.
Use this fully integrated platform for processing microarray data.
An integrated feature-based function prediction server for vertebrate proteomes.
A web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models.
Perform biclustering of microarray data.
A powerful alternative search engine for the Gene Expression Omnibus.
A web-based software toolkit for Gene Ontology enrichment analysis.
Allowssimulation of non-multiplicative effects and two-way interaction effects.
Visualize and analyze gene expression data in the context of biological pathways.
Annotate microarray data using information from public databases.
Perform automated data analysis from gene expression experiments on a number of different platforms.
Analyze a set of genes against any chosen reference set or against all genes.
To visualize and analyze gene expression data, and integrate clustering, gene annotation, and sequence information.
Use a suite of algorithms and tools for the analysis of gene expression data and the discovery of cis-regulatory sequence elements.
A web-based environment for the analysis of Array CGH and gene expression which includes functional profiling.
Annotate crude EST (expressed sequence tag) specifically dedicated to comparative mapping approaches.
A web-based tool for visualizing experimental data in the context of biological pathways.
Identify differentially expressed genes.
A modular open-source application for microarray workflow and integrative datamining.
A novel normalization method based on the GC content of probes for two-color tiling arrays.
Data mining and visualization tool for rapid analysis of diverse high-throughput biological data.
Identify differentially expressed genes from two-channel microarray data.
To create a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP.
A web-based tool for searching and large scale retrieval of public microarray data.
Combine the results of multiple gene expression studies.
Search the largest public repository for high-throughput gene expression data.
Analyze large amounts of ESTs or cDNAs from mammalia and fungi.
Web platform for cluster and cross-species analysis of microarray data.
Use a suite of tools to analyze microarray data and perform genomic and proteomic annotations.
A tool for statistical analysis and visualization of high-throughout biological data using Gene Ontology.
Gain insight the evolutionary history of organisms via expressed sequence tag analysis.
Find information about alignment of probe sequences from five Affymetrix expression microarrays.
A tool to aid high-throughput phylogenetic analysis.
Filter common literature, biological terms and pathway information.
Interpret gene expression data obtained from microarray experiments.
Perform analysis on gene and protein expression data.
Application for the mapping of prokaryotic genes and the corresponding proteins to common gene regulatory and metabolic networks.
A web tool for profiling the complex functionality of gene groups identified from high-throughput data.
Analyze DNA microarray data.
Find relative expression of a given gene in normal and malignant tissues throughout the human body.
Map experimental tags in serial analysis of gene expression.
Store, annotate, view, analyze, and share microarray data.
Use the t-test to score changes in the average gene expression activity of predefined groups of genes.
Analyze and visualize gene regulatory networks that combines encyclopedic information on signal transduction pathway.
A comprehensive toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data.
Interpret microarray gene expression data.
Perform gene ontology microarray analysis by drawing Euler/Venn diagrams.
Cluster and interpret gene expression microarray data.
A visualization plugin using an extended permutation matrix for exploratory data analysis of multi-experiment microarray studies.
Perform statistical analysis on human SAGE data.
Perform cross-platform microarray analysis
Designed to map millions of short reads, emerged by next-generation sequencing technology, back to the reference genomes, and carry out post-analysis.
Use to analyze spatial-temporal gene expression information.
Reveal information about the complex latent relationships in experimental data sets.
Identify the conditions that affect the expression of a gene or list of genes of yeast regulated in a set of experiments.
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