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The Expression Atlas allows searches by gene, splice variant, protein attribute, disease, treatment or organism part (cell types/tissues). Individual genes or gene sets can be searched for. All datasets in Expression Atlas have its metadata manually curated and its data analysed through standardised analysis pipelines.
Bgee is a database maintained by the SIB Swiss Institute of Bioinformatics and the University of Lausanne for retrieval and comparison of gene expression patterns from RNA-Seq, scRNA-Seq, Microarray, In situ hybridization and EST studies, across multiple animal species.
JBrowse: JBrowse is a free, interactive, and database-specific data analysis tool. The software was created and is currently maintained by the Generic Model Organism Database project, Genetic and phenotypic data types, including fundamental datasets and gene-chemical interaction data, and their relationship to the genomic sequence can be ...
Meta databases are databases of databases that collect data about data to generate new data. They are capable of merging information from different sources and making it available in a new and more convenient form, or with an emphasis on a particular disease or organism.
Mouse Genome Informatics (MGI) is a free, online database and bioinformatics resource hosted by The Jackson Laboratory, with funding by the National Human Genome Research Institute (NHGRI), the National Cancer Institute (NCI), and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD). [1]
EMAGE (e-Mouse Atlas of Gene Expression [note 1]) is an online biological database of gene expression data in the developing mouse (Mus musculus) embryo. [1] [2] [3] The data held in EMAGE is spatially annotated to a framework of 3D mouse embryo models produced by EMAP (e-Mouse Atlas Project).
ATCC has created and continues to maintain several public databases used for cell line authentication and research. In 2016, ATCC signed an agreement with the National Institutes of Standards and Technology (NIST) to establish standards and a database for short tandem repeat (STR) sequences in mouse and human cell lines. [6]
The purpose of the Stem Cell Lineage Database is to consolidate the three key components into a database that is accessible and capable of storing information "about cell type gene expression, cell lineage maps and stem cell differentiation protocols for both human and mouse stem cells and endogenous developmental lineages". [1]