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PMID: 16168088 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

L2L: a simple tool for discovering the hidden significance in microarray expression data.

Genome biology ·Vol. 6 ·No. 9 ·2005-00-00 ·Pages R81

Newman JC, Weiner AM

Abstract

L2L is a database consisting of lists of differentially expressed genes compiled from published mammalian microarray studies, along with an easy-to-use application for mining the database with the user's own microarray data. As illustrated by re-analysis of a recent study of diabetic nephropathy, L2L identifies novel biological patterns in microarray data, providing insights into the underlying nature of biological processes and disease. L2L is available online at the authors' website [http://depts.washington.edu/l2l/].

MeSH Terms
Aging/genetics Animals Databases, Genetic Diabetic Nephropathies/genetics Gene Expression Regulation Genomics Humans Internet Oligonucleotide Array Sequence Analysis Reproducibility of Results User-Computer Interface
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Newman John C
Department of Biochemistry, University of Washington, Seattle, WA 98115, USA. [email protected]
Weiner Alan M
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Article Info
Journal
Genome biology
Abbr.
Genome Biol
ISSN
1474-760X
DOI
10.1186/gb-2005-6-9-r81
Email
[email protected]
Published
2005-00-00
Epub
2005-00-31
Pages
R81
Language
English
Region
England
NLM ID
100960660
PMCID
PMC1242216
Subset
IM
Grants
NIGMS NIH HHS · R01 GM041624 · United States
NIGMS NIH HHS · GM41624 · United States
External Links
PubMed source DOI: 10.1186/gb-2005-6-9-r81 PMC Full Text View journal details
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