Babelomics is a suite of web tools for the functional annotation and analysis of groups of genes in high throughput experiments. Tools include: FatiGO, FatiGOplus, Fatiscan, Gene Set Enrichment Analysis (GSEA), Marmite, and the Tissues Mining Tool (TMT). Other tools include Biocarta pathways, Transfac and a tool de novo functional annotation of sequences.
The BioMet Toolbox consists of web-based resources for stoichiometric analysis of metabolic networks and for integration of transcriptome and interactome data into these networks to simulate growth rates, substrate uptake rates and metabolic production rates. Files for model organisms are included.
The Comparative Pathway Analyzer (CPA) is a web tool for comparative metabolic network analysis. The differences in metabolic reaction content between two sets of organisms are computed and displayed on KEGG pathway maps.
ENDEAVOUR is a computational approach to prioritize candidate genes for further study. Users input training genes already known to be involved in the process under study and the candidate genes to prioritize. The web server supports multiple species and integrates multiple genomic data to generate the final prioritization.
ENDEAVOUR has been benchmarked in silico and experimentally validated leading to the discovery of novel disease genes in several genetic diseases.
Originally designed in 2007 for modular enrichment analysis, GeneCodis assists in functional analysis of gene lists, integrating information from different sources. GeneCodis also finds regulatory patterns, and singular and modular patterns of interrelated annotations.
GenoCAD is a web-based application for designing protein expression vectors, artificial gene networks and other genetic constructs composed of multiple functional blocks. Users can download the designed sequence for synthesis or further analysis. Users can also create personal accounts and thus can customize their workspace.
Pathway maps, molecular catalogs, genome maps and gene catalogs that capture knowledge about interactions in terms of information pathways. KEGG comprises several databases, including BRITE (protein-protein interactions), PATHWAY (interaction networks for cellular processes), and LIGAND (chemical compounds and chemical reactions). KEGG Atlas is a new tool for the global analysis of metabolic pathways.
Microarray Database Network (MADNet) is a data mining and visualization tool for analysis of diverse high-throughput biological data such as microarrays and phage display experiments. Data is integrated with information from NCBI, KEGG TRANSFAC and DrugBank.
mirConnX is a web server for inferring, displaying and parsing mRNA and microRNA gene regulatory networks. mirConnX combines sequence information with gene expression data analysis to create a disease specific, genome wide regulatory network. Only supports human and mouse.
Network Analysis Tools (NeAT) is a suite of tools for the analysis of biological networks, clusters, classes and pathways. Tools are available as web services for integration into programmatic work flows.
A web-based application for the mapping of prokaryotic genes and the corresponding proteins to common gene regulatory and metabolic networks. Users input a list of genes from which shared operons, co-expressed genes and shared regulators are detected. Common metabolic pathways are then viewed on KEGG maps.
SNPsyn is a tool for the discovery of synergistic pairs of SNPs from large genome-wide case-control association studies data on complex diseases. The SNPsyn web server receives GWAS data submissions, invokes the interaction analysis and returns results. The user can explore details on identified SNP-SNP pairs, perform gene set enrichment analysis and interact with the constructed SNP synergy network.
Signaling Pathway Enrichment using Experimental Datasets (SPEED) is a web server for enrichment of signaling pathways responsible for gene expression changes.