ArraySearch: A Web-Based Genomic Search Engine

Recent advances in microarray technologies have resulted in a flood of genomics data. This large body of accumulated data could be used as a knowledge base to help researchers interpret new experimental data. ArraySearch finds statistical correlations between newly observed gene expression profiles and the huge source of well-characterized expression signatures deposited in the public domain. A search query of a list of genes will return experiments on which the genes are significantly up- or downregulated collectively. Searches can also be conducted using gene expression signatures from new experiments. This resource will empower biological researchers with a statistical method to explore expression data from their own research by comparing it with expression signatures from a large public archive.

• Publication year

  2012

• Venue

  Comparative and Functional Genomics

• Publication date

  2012-03-04

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1155/2012/650842PMID 22474412PMCID 3310226
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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