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Bioinformatics Vol. 19 no. 11 2003
Pages 1443-1445
© 2003 Oxford University Press

Applications Note

2HAPI: a microarray data analysis system

J. Lynn Fink 1, Scott Drewes 1, Hiren Patel 2, John B. Welsh 3, Daniel R. Masys 4, Jacques Corbeil 4, and Michael Gribskov 1,2,*,

1 San Diego Supercomputer Center
2 Department of Biology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093-0537
3 Johnson & Johnson Pharmaceutical Research & Development, L.L.C., 3210 Merryfield Row, San Diego, CA 92121
4 School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093-0602
5 Veterans Medical Research Foundation, 3350 La Jolla Village Drive, San Diego, CA 92161, USA

Received on February 10, 2003 ; revised on April 2, 2003 ; accepted on April 2, 2003

Summary: 2HAPI (version 2 of High density Array Pattern Interpreter) is a web-based, publicly-available analytical tool designed to aid researchers in microarray data analysis. 2HAPI includes tools for searching, manipulating, visualizing, and clustering the large sets of data generated by microarray experiments. Other features include association of genes with NCBI information and linkage to external data resources. Unique to 2HAPI is the ability to retrieve upstream sequences of co-regulated genes for promoter analysis using MEME (Multiple Expectation-maximization for Motif Elicitation)

Availability: 2HAPI is freely available at http://array.sdsc.edu. Users can try 2HAPI anonymously with pre-loaded data or they can register as a 2HAPI user and upload their data.

Contact: gribskov{at}sdsc.edu

* To whom correspondence should be addressed.


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