期刊论文

Yi, YJ

英文

BMC Bioinformatics

1471-2105

2009

10

1

420

10.1186/1471-2105-10-420

The authors thank Guangzu Zhang for assistance with software development, Dr Annette Gilchrist and Jia Yi for critical review on the manuscript, and the Vanderbilt University Advanced Computer Center for Research & Education (ACCRE) for access to parallel computer support. This work was supported in part by a Howard Temin Award from the National Cancer Institute (CA114033 to YY), the Vanderbilt CTSA grant UL1 RR024975 from NCRR/NIH (CRC1838 to YY), and Shanghai Natural Science Foundation (08ZR1415800 to JW and LX).

本校为其他机构

Background: Widespread use of high-throughput techniques such as microarrays to monitor gene expression levels has resulted in an explosive growth of data sets in public domains. Integration and exploration of these complex and heterogeneous data have become a major challenge.Results: The EXALT (EXpression signature AnaLysis Tool) online program enables meta-analysis of gene expression profiles derived from publically accessible sources. Searches can be executed online against two large databases currently containing more than 28,000 gene expre...