Fink J Lynn, Drewes Scott, Patel Hiren, Welsh John B, Masys Daniel R, Corbeil Jacques, Gribskov Michael
San Diego Supercomputer Center, Department of Biology, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093-0537, USA.
Bioinformatics. 2003 Jul 22;19(11):1443-5. doi: 10.1093/bioinformatics/btg169.
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)
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.
2HAPI（高密度阵列模式解释器版本2）是一个基于网络的、公开可用的分析工具，旨在帮助研究人员进行微阵列数据分析。2HAPI包括用于搜索、处理、可视化和聚类微阵列实验产生的大量数据的工具。其他功能包括将基因与NCBI信息相关联以及链接到外部数据资源。2HAPI的独特之处在于能够检索共调控基因的上游序列，以便使用MEME（用于基序引出的多重期望最大化）进行启动子分析。
2HAPI可在http://array.sdsc.edu免费获取。用户可以使用预加载的数据以匿名方式试用2HAPI，也可以注册成为2HAPI用户并上传自己的数据。
