Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides

Background: Promoter region plays an important role in determining where the transcription of a particular gene should be initiated. Computational prediction of eukaryotic Pol II promoter sequences is one of the most significant problems in sequence analysis. Existing promoter prediction methods are still far from being satisfactory. Results: We attempt to recognize the human Pol II promoter sequences from the non-promoter sequences which are made up of exon and intron sequences. Four methods are used: two kinds of multifractal analysis performed on the numeric sequences obtained from the dinucleotide free energy, Z curve analysis and global descriptor of the promoter/non-promoter primary sequences. A total of 141 parameters are extracted from these methods and categorized into seven groups (methods). They are used to generate certain spaces and then each promoter/non-promoter sequence is represented by a point in the corresponding space. All the 120 possible combinations of the seven...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Jian-Yi Yang, Yu Zhou, Zu-Guo Yu, Vo Anh, Li-Qian Zhou
• Keywords: BMCBI 2008, II Promoter Sequences, Promoter, Promoter Sequences