Computational analysis of promoter features associated with contrasting expression patterns of human genes under normal and disease conditions.

The promoter region plays a critical role in regulating gene expression, particularly in complex vertebrate genomes. However, promoters associated with contrasting gene expression patterns have not been comprehensively characterized. In this study, we systematically analyzed multiple features of human promoter sets corresponding to contrastingly expressed gene sets or transcripts (PCeGs).

Structural features of DNA are conserved in the promoter region of orthologous genes across different strains of Helicobacter pylori.

Promoter regions play a key role in the process of transcription initiation and gene expression, hence promoter identification is an inherent component of the genome annotation process. Identification and characterization of promoters in fully sequenced genomes is a challenging and complex task. An analysis of sequence-dependent DNA structural properties in the promoter region of orthologous and non-orthologous genes can help in characterizing promoters and also provide insights into transcription initiation.