Document Detail

Modeling transcriptome dynamics in a complex world.
MedLine Citation:
PMID:  23217702     Owner:  NLM     Status:  In-Data-Review    
An accurate prediction of how extrinsic stimuli influence changes in gene expression has been challenging. In this issue, Nagano and colleagues successfully model genome-wide mRNA expression changes under variable environmental conditions in rice, raising hopes that scientists will soon be able to predict genome-wide transcriptional responses in a variety of organisms in uncontrolled real-world settings.
Philipp A Jaeger; Colleen Doherty; Trey Ideker
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Cell     Volume:  151     ISSN:  1097-4172     ISO Abbreviation:  Cell     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0413066     Medline TA:  Cell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1161-2     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier Inc. All rights reserved.
Departments of Medicine and Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
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