Asterias is a set of tools for the analyses of high throughput genomic data that includes applications for microarray data normalization, filtering, detection of differential gene expression, class and survival prediction model building, and analysis of array CGH data. Most applications use parallel computing resulting in significant increases in speed.
CARGO (Cancer And Related Genes Online) is a portal that uses widgets to allow users to mine literature using iHOP, retrieve disease information from OMIM, visualize 3D SNPs, query protein interactions, and view summarized gene annotation information for cancer related genes in human.
EMAGE is a freely available online database of in situ gene expression patterns in the developing mouse embryo. Gene expression domains from raw images are extracted and integrated spatially into a set of standard 3D virtual mouse embryos at different stages of development, which allows data interrogation by spatial methods. An anatomy ontology is also used to describe sites of expression, which allows data to be queried using text-based methods. Data coverage has been increased by sourcing from a greater selection of journals.
The EuroPhenome project provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centres. Mutants of interest can be identified by searching the gene or the predicted phenotype.
FatiGOplus is a tool for the functional profiling of genome-scale experiments oriented to the interpretation of microarray experiments. As part of the Babelomics suite, FatiGOplus finds differential distributions of biological terms (GO, KEGG pathways, Interpro motifs, Transfac motifs, CisRed motifs, etc.) between two groups of genes.
Gene Set Builder is a database-driven, web-based tool designed to help researchers compile, store, export, and share sets of genes. This application supports the 17 eukaryotic genomes found in version 32 of the Ensembl database, which includes species from yeast to human. User-created information such as sets and customized annotations are stored and can be shared to facilitate easy access. Gene sets stored in the system can be exported in a variety of output formats - as lists of identifiers, in tables, or as sequences.