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The archive was established by the National Center for Biotechnology Information (NCBI) in 2007 in order to provide a repository for data produced by RNA-Seq and ChIP-Seq studies as well as large-scale studies including the Human Microbiome Project and the 1000 Genomes Project.
Dryad: repository of data underlying scientific publications in the basic and applied biosciences; Edinburgh Mouse Atlas; EPD Eukaryotic Promoter Database; FINDbase (the Frequency of INherited Disorders database) GigaDB: repository of large scale datasets underlying scientific publications in the biological and biomedical research
Gene Expression Omnibus (GEO) is a database for gene expression profiling and RNA methylation profiling managed by the National Center for Biotechnology Information (NCBI). [1] These high-throughput screening genomics data are derived from microarray or RNA-Seq experimental data. [2]
A microarray database is a repository containing microarray gene expression data. The key uses of a microarray database are to store the measurement data, manage a searchable index, and make the data available to other applications for analysis and interpretation (either directly, or via user downloads).
queryable-rna-seq-database Formally known as the Queryable RNA-Seq Database, this system is designed to simplify the process of RNA-seq analysis by providing the ability upload the result data from RNA-Seq analysis into a database, store it, and query it in many different ways.
RNA-Seq (named as an abbreviation of RNA sequencing) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome.
DESeq2 employs statistical methods to normalize and analyze RNA-seq data, making it a valuable tool for researchers studying gene expression patterns and regulation. It is available through the Bioconductor repository. It was first presented in 2014. [1] As of September 2023, its use has been cited over 30,000 times. [2]
The Baseline Atlas provides information about which gene products are present (and at what abundance) under "normal" conditions. This component of the Expression Atlas consists of RNA-seq experiments from ArrayExpress repositories.