ADGO 2.0: interpreting microarray data and list of genes using composite annotations.

Citation data:

Nucleic acids research, ISSN: 1362-4962, Vol: 39, Issue: Web Server issue, Page: W302-6

Publication Year:
2011
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Repository URL:
http://scholarworks.unist.ac.kr/handle/201301/2747
PMID:
21624890
DOI:
10.1093/nar/gkr392
PMCID:
PMC3125784
Author(s):
Chi, Sang-Mun; Kim, Jin; Kim, Seon-Young; Nam, Dougu
Publisher(s):
Oxford University Press (OUP); OXFORD UNIV PRESS
Tags:
Biochemistry, Genetics and Molecular Biology; HIGH-THROUGHPUT DATA; COMPLEX FUNCTIONALITY; ENRICHMENT ANALYSIS; SET ENRICHMENT; GENOME; TOOLS
article description
ADGO 2.0 is a web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. Some other tools also incorporate composite annotations solely for interpreting lists of genes but usually provide highly redundant information. This new version has the following additional features: first, it provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. Second, it screens redundant composite annotations when generating and prioritizing them. Third, it incorporates union and subtracted sets as well as intersection sets. Lastly, users can upload their own gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets. The first two features are unique to ADGO 2.0. Using our tool, we demonstrate analyses of a microarray dataset and a list of genes for T-cell differentiation. The new ADGO is available at http://www.btool.org/ADGO2.