Locate the positions of promoters. In this method, not only the local distribution of pentamers, but also the positional CpG island features are considered. PromoterExplorer is tested based on large-scale DNA sequences from different databases, including the EPD, DBTSS, GenBank and human chromosome 22. Experimental results show that consistent and promising performance can be achieved.
Department of Electronic Engineering, City University of Hong Kong, Hong Kong; Department of Electronic Engineering, Tsinghua University, Beijing, China; School of Computer Science and Technology, Yantai University, China; Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong; School of Electronic and Information Engineering, University of Sydney, NSW, Australia
PromoterExplorer funding source(s)
Research grants from City University of Hong Kong (Projects 9010003 and 9610034)