Relation between mRNA expression and sequence information in Desulfovibrio vulgaris: Combinatorial contributions of upstream regulatory motifs and coding sequence features to variations in mRNA abundance

This publication has 40 references indexed in Scilit:

• Predicting Gene Expression from Sequence
  Cell, 2004
• Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
  BMC Bioinformatics, 2004
• Unexpected correlations between gene expression and codon usage bias from microarray data for the whole Escherichia coli K-12 genome
  Nucleic Acids Research, 2003
• Integrating regulatory motif discovery and genome-wide expression analysis
  Proceedings of the National Academy of Sciences, 2003
• Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in eukaryotes
  BMC Bioinformatics, 2002
• Microarrays and cell cycle transcription in yeast
  Current Opinion in Cell Biology, 2000
• Relationship of codon bias to mRNA concentration and protein length inSaccharomyces cerevisiae
  Yeast, 2000
• From global expression data to gene networks
  BioEssays, 1999
• From specific gene regulation to genomic networks: a global analysis of transcriptional regulation in Escherichia coli
  BioEssays, 1998
• Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation
  Nature Biotechnology, 1998