Allowing the parallel monitoring of the transcription of thousands of genes, microarrays constitute a powerful technique for functional genomics. In a recent paper, a clustering method and a local alignment software were combined to identify DNA motifs in sets of yeast genes endowed with similar transcription profiles throughout mitosis. Identifying various known transcriptional binding sites together with new putative ones, the authors made a significant step towards a systematic characterization of the regulatory structure of genomic networks.SCOPUS: ar.jFLWINinfo:eu-repo/semantics/publishe
We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces...
Many bioinformatics problems can be tackled from a fresh angle offered by the network perspective. D...
The development of DNA microarrays has provided considerable impetus to research on genetic regulato...
Standard clustering methods can classify genes successfully when applied to relatively small data se...
DNA-Microarrays are powerful tools to obtain expression data on the genome-wide scale. We performed ...
Abstract Background Functional genomics studies are yielding information about regulatory processes ...
A genome-wide location analysis method has been introduced as a means to simultaneously study protei...
Gene expression in eukaryotic cells is controlled by the concerted action of various transcription f...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2002.Includes bibliographi...
Network analysis transcends conventional pairwise approaches to data analysis as the context of comp...
The sequencing of the human genome and the entire genomes of many model organisms has resulted in th...
Deciphering gene regulatory network architecture amounts to the identification of the regulators, co...
AbstractGene-specific transcription activators are among the main factors which specifically shape t...
Microarrays have been used to characterize gene expression through the yeast cell cycle. Computation...
The recent availability of whole-genome scale data sets that investigate complementary and diverse a...
We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces...
Many bioinformatics problems can be tackled from a fresh angle offered by the network perspective. D...
The development of DNA microarrays has provided considerable impetus to research on genetic regulato...
Standard clustering methods can classify genes successfully when applied to relatively small data se...
DNA-Microarrays are powerful tools to obtain expression data on the genome-wide scale. We performed ...
Abstract Background Functional genomics studies are yielding information about regulatory processes ...
A genome-wide location analysis method has been introduced as a means to simultaneously study protei...
Gene expression in eukaryotic cells is controlled by the concerted action of various transcription f...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2002.Includes bibliographi...
Network analysis transcends conventional pairwise approaches to data analysis as the context of comp...
The sequencing of the human genome and the entire genomes of many model organisms has resulted in th...
Deciphering gene regulatory network architecture amounts to the identification of the regulators, co...
AbstractGene-specific transcription activators are among the main factors which specifically shape t...
Microarrays have been used to characterize gene expression through the yeast cell cycle. Computation...
The recent availability of whole-genome scale data sets that investigate complementary and diverse a...
We have determined how most of the transcriptional regulators encoded in the eukaryote Saccharomyces...
Many bioinformatics problems can be tackled from a fresh angle offered by the network perspective. D...
The development of DNA microarrays has provided considerable impetus to research on genetic regulato...