000154700 001__ 154700
000154700 005__ 20180913060058.0
000154700 0247_ $$2doi$$a10.1016/S0959-440X(99)80054-2
000154700 022__ $$a0959-440X
000154700 037__ $$aARTICLE
000154700 245__ $$aRegulatory elements and expression profiles
000154700 260__ $$bElsevier$$c1999
000154700 269__ $$a1999
000154700 336__ $$aReviews
000154700 520__ $$aThere has been steady progress in the computational analysis of transcription control regions, but current methods of predicting the gene regulatory features of noncoding sequences are still not accurate enough to be useful in automatic genome annotation. Therefore, detailed information on the expression patterns of newly sequenced genes is more likely to come from microarray-based high-throughput mRNA quantitation technologies, which have made revolutionary progress over the past few years and are now ready for genome-wide application. Future solutions to the regulatory element prediction problem may be found by the combined analysis of genome sequence and expression data.
000154700 6531_ $$aGene Expression Regulation
000154700 6531_ $$aRegulatory Sequences, Nucleic Acid
000154700 700__ $$g113607$$aBucher, Philipp$$0244404
000154700 773__ $$j9$$tCurrent opinion in structural biology$$k3$$q400-7
000154700 909C0 $$xU11780$$0252244$$pGR-BUCHER
000154700 909CO $$pSV$$preview$$ooai:infoscience.tind.io:154700
000154700 917Z8 $$x182396
000154700 937__ $$aEPFL-REVIEW-154700
000154700 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000154700 980__ $$aREVIEW