The Stanford Microarray Database

By Gavin Sherlock, Tina Hernandez-Boussard, Andrew Kasarskis, G. Binkley, J. Matese, S. Dwight, Miroslava Kaloper, S. Weng, Heng Jin, C. Ball and 5 more. Nucleic Acids Res., 2001

566 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/bcb5d0c119150ea24e590ae840ea5e6f8cbbb36f

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Citations in the corpus

A Practical Approach to Microarray Data Analysis (2003, methodology): “Publicly available database systems have been described in the literature (e.g., Comander et al,, 2001; Sherlock et al., 2001), and others are available through acquisition of commercial database-enabled microarray software.”
An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets (2007, background): “Currently, several databases of Arabidopsis gene expression data are accessible, including NASCArrays [1], GEO [2], SMD [3] and ArrayExpress [4].”
The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses. (2005, background): “, 2002), SMD (Sherlock et al., 2001) and ArrayExpress (Rocca-Serra et al.”
Identification of genes periodically expressed in the human cell cycle and their expression in tumors. (2002, background): “Hierarchical clustering of the expression patterns revealed coexpressed groups of previously well-characterized genes involved in essential cell cycle processes such as DNA replication, chromosome segregation, and cell adhesion along with genes of uncharacterized function.”
BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data (2002, background): “There are a number of separate software systems that individually address some of the needs, such as databases and applications for clustering and visualization of microarray data [11-18], public databases that contain reporter information [19-21], commercial laboratory information management system”
Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data (2010, background): “The advent of ‘‘open biology’’ has led to an exponential growth of high-throughput data in publicly shared repositories, such as NCBI GEO, EBI Array Express, and the Stanford Microarray Database (SMD) [1].”
Similarities and Differences in Genome-Wide Expression Data of Six Organisms (2003, methodology): “coli, Arabidopsis thaliana, and Homo sapiens were downloaded from the Stanford Microarray Database (Sherlock et al. 2001) using default parameters and selecting data from all experimenters and categories.”
Immunohistochemical and Clinical Characterization of the Basal-Like Subtype of Invasive Breast Carcinoma (2004, methodology): “The raw data (.gpr files) tables were uploaded into the University of North Carolina Microarray Database, which is a mirror of the Stanford Microarray Database (9).”
Molecular classification of head and neck squamous cell carcinomas using patterns of gene expression. (2004, result): “The agreement which is a mirror of the Stanford Microarray Database (Sherlock et al., 2001).”
Coexpression analysis of human genes across many microarray data sets. (2004, background): “Major data sources were the Stanford Microarray Database (Sherlock et al. 2001) and the Gene Expression Omnibus (Edgar et al. 2002).”
Sharing Detailed Research Data Is Associated with Increased Citation Rate (2007, background): “Specifically, we looked for mention of Supplementary Information within the trial publication, searched the Stanford Microarray Database (SMD)[8], Gene Expression Omnibus (GEO)[9], ArrayExpress[10], CIBEX[28], and the NCI GeneExpression Data Portal (GEDP)(gedp.nci.nih.gov), investigated whether a…”