TY - JOUR
T1 - Mining genome databases to identify and understand new gene regulatory systems
AU - Stormo, Gary D.
AU - Tan, Kai
N1 - Funding Information:
Our apologies for those whose work we failed to cite owing to page limitation. We thank the National Institutes of Health for funding (grant HG-00249 to GDS).
PY - 2002
Y1 - 2002
N2 - The availability of a large number of sequenced microbial genomes allows us to conduct systematic studies on microbial gene regulatory systems. Computational methods, using comparative genomics approaches, are powerful tools to understand their mechanisms and evolutionary history. Recent advances in computational methodology for uncovering transcriptional regulatory components and their interactions are discussed.
AB - The availability of a large number of sequenced microbial genomes allows us to conduct systematic studies on microbial gene regulatory systems. Computational methods, using comparative genomics approaches, are powerful tools to understand their mechanisms and evolutionary history. Recent advances in computational methodology for uncovering transcriptional regulatory components and their interactions are discussed.
UR - http://www.scopus.com/inward/record.url?scp=0036220597&partnerID=8YFLogxK
U2 - 10.1016/S1369-5274(02)00309-0
DO - 10.1016/S1369-5274(02)00309-0
M3 - Review article
C2 - 11934610
AN - SCOPUS:0036220597
SN - 1369-5274
VL - 5
SP - 149
EP - 153
JO - Current Opinion in Microbiology
JF - Current Opinion in Microbiology
IS - 2
ER -