Precision annotation of digital samples in NCBI’s gene expression omnibus
نویسندگان
چکیده
منابع مشابه
Precision annotation of digital samples in NCBI’s gene expression omnibus
The Gene Expression Omnibus (GEO) contains more than two million digital samples from functional genomics experiments amassed over almost two decades. However, individual sample meta-data remains poorly described by unstructured free text attributes preventing its largescale reanalysis. We introduce the Search Tag Analyze Resource for GEO as a web application (http://STARGEO.org) to curate bett...
متن کاملGene Expression Omnibus (GEO)
The Gene Expression Omnibus (GEO) is an international public repository that archives and freely distributes microarray, next-generation sequencing, and other forms of highthroughput functional genomic data sets (1). Approximately 90% of the data in GEO are gene expression studies that investigate a broad range of biological themes including disease, development, evolution, immunity, ecology, t...
متن کاملGene-Expression Omnibus integration and clustering Tools in SeqExpress
UNLABELLED SeqExpress, a gene-expression analysis suite, has been extended to offer a number of cluster generation, refinement and visualization techniques. The cluster generation methods have been specialized to deal with aspects of the sparseness and extreme values that occur within microarray data. The results of such cluster analysis can then be refined using either: a functional enrichment...
متن کاملGEOmetadb: powerful alternative search engine for the Gene Expression Omnibus
UNLABELLED The NCBI Gene Expression Omnibus (GEO) represents the largest public repository of microarray data. However, finding data in GEO can be challenging. We have developed GEOmetadb in an attempt to make querying the GEO metadata both easier and more powerful. All GEO metadata records as well as the relationships between them are parsed and stored in a local MySQL database. A powerful, fl...
متن کاملChapter 6. The Gene Expression Omnibus (GEO): A Gene Expression and Hybridization Repository
The Gene Expression Omnibus (GEO) project was initiated at NCBI in 1999 in response to the growing demand for a public repository for data generated from high-throughput microarray experiments. GEO has a flexible and open design that allows the submission, storage, and retrieval of many types of data sets, such as those from high-throughput gene expression, genomic hybridization, and antibody a...
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ژورنال
عنوان ژورنال: Scientific Data
سال: 2017
ISSN: 2052-4463
DOI: 10.1038/sdata.2017.125