The Rat Genome Database RatMap is focused on presenting rat genes, DNA-markers, QTL:s etc that is localized to chromosome. The database is dedicated to rat gene nomenclature and should be consulted for queries in such. RatMap is formally sorting under the (RGNC) and is maintained at the Dept for Cell and Molecular Biology, Göteborg University, Sweden. Within RatMap you can find information on: rat gene nomenclature, chromosomal positions for genes, DNA-markers, QTL:s etc., predicted position for more than 6000 rat genes (see GAPP), gene function, literature references, DNA-sequences with links to DDBJ/EMBL/GenBank, unigene and Locus Link ID:s and links. ... [Information of the supplier]
The UCSC Genome Browser website contains the reference sequence and working draft assemblies for a large collection of genomes. It also provides portals to the ENCODE and Neandertal projects. We encourage you to explore these sequences with our tools. The Genome Browser zooms and scrolls over chromosomes, showing the work of annotators worldwide. The Gene Sorter shows expression, homology and other information on groups of genes that can be related in many ways. Blat quickly maps your sequence to the genome. The Table Browser provides convenient access to the underlying database. VisiGene lets you browse through a large collection of in situ mouse and frog images to examine expression patterns. Genome Graphs allows you to upload and display genome-wide data sets. ... [Information of the supplier]
Gene Weaver is a web-based, gene-centered database with integrated tools. It can combine diverse data sets from multiple species and experiment types, and allows simple and powerful data sharing publicly or across collaborative groups.Gene Weaver allows users to integrate phenotype centered gene sets across species, tissue and experimental platform. Data in Gene Weaver is organized into sets of genes, or GeneSets. These sets contain some simple metadata, such as a name, description, and publication info, along with the set of genes. All of this information can be searched to find a set of interest. Phenotype data sets can come from many different sources, including but not limited to: Microarray expression studies, Gene Ontology categories, Text Mining tools, conserved modules, candidate genes, or even just a list of genes that you find interesting. ... [Information of the supplier, modified]