Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2003;4(10):R70.
doi: 10.1186/gb-2003-4-10-r70. Epub 2003 Sep 11.

Identifying biological themes within lists of genes with EASE

Affiliations

Identifying biological themes within lists of genes with EASE

Douglas A Hosack et al. Genome Biol. 2003.

Abstract

EASE is a customizable software application for rapid biological interpretation of gene lists that result from the analysis of microarray, proteomics, SAGE and other high-throughput genomic data. The biological themes returned by EASE recapitulate manually determined themes in previously published gene lists and are robust to varying methods of normalization, intensity calculation and statistical selection of genes. EASE is a powerful tool for rapidly converting the results of functional genomics studies from 'genes' to 'themes'.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The EASE user interface is designed for quick annotation and analysis of gene lists. Gene identifiers are pasted into the 'INPUT GENES' section, and the processes of linking to online tools, over-representation analysis or annotation are launched with buttons in the 'EXPLORE' section. Annotation data can be automatically retrieved from the internet and stored into local data files by clicking the 'update with the most recent online data' button.

Similar articles

Cited by

References

    1. Heller MJ. DNA microarray technology: devices, systems, and applications. Annu Rev Biomed Eng. 2002;4:129–153. - PubMed
    1. Quackenbush J. Microarray data normalization and transformation. Nat Genet. 2002;32 Suppl:496–501. - PubMed
    1. Slonim DK. From patterns to pathways: gene expression data analysis comes of age. Nat Genet. 2002;32 Suppl:502–508. - PubMed
    1. Pruitt KD, Katz KS, Sicotte H, Maglott DR. Introducing RefSeq and LocusLink: curated human genome resources at the NCBI. Trends Genet. 2000;16:44–47. - PubMed
    1. The Gene Ontology Consortium Gene Ontology: tool for the unification of biology. Nature Genet. 2000;25:25–29. - PMC - PubMed
  NODES
INTERN 2
twitter 2