Promoter prediction on a genomic scale - The Adh experience

We describe our statistical system for promoter recognition in genomic DNA with which we took part in the Genome Annotation Assessment Project (GASP1) . We applied two versions of the system: the first uses a region-based appr oach toward transcription start site identification, namely, interpolated M arkov chains; the second was a hybrid approach combining regions and signal s within a stochastic segment model. We compare the results of both version s with each other and examine how well the application on a genomic scale c ompares with the results we previously obtained on smaller data sets.