Linked Life Data

11893484

Source:http://linkedlifedata.com/resource/pubmed/id/11893484

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2002-3-14
pubmed:abstractText
In the past year, great strides have been made in our understanding of the regulatory networks that control gene expression in the model eukaryote Saccharomyces cerevisiae. The development and use of a number of genomic tools, including genome-wide location and expression analysis, has fueled this progress. In addition, a variety of computational algorithms have been devised to mine genomic sequence for conserved regulatory motifs in co-regulated genes. The recent description of the genetic network controlling the cell cycle illustrates the tremendous potential of these approaches for deciphering gene expression regulatory networks in eukaryotic cells.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0959-437X
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
130-6
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Deciphering gene expression regulatory networks.
pubmed:affiliation
Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA. jjwyrick@mit.edu
pubmed:publicationType
Journal Article, Review