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The problem of predicting gene locations in newly sequenced DNA is well known but still far from being successfully resolved. A novel approach to the problem based on the frame dependent (non-homogeneous) Markov chain models of protein-coding regions was previously suggested. This approach is, apparently, one of the most powerful "search by content"(More)
This paper is supposed to bridge the gap between practical experience in using GeneMark for a rapidly widening repertoire of genomes, and the available publications that determine and compare the gene prediction accuracy of the GeneMark method for different genomes. Here we focus on the genome-specific variability of prediction error rates and their(More)
Using the computer program GeneMark, the open reading frames (ORFs) previously assigned within the one megabase sequence data of the genome of the cyanobacterium, Synechocystis sp. strain PCC6803 (Kaneko et al., DNA Res. 2: 153-166, 1995), were re-examined. Matrices required by GeneMark for its statistical calculation were generated and modified by running(More)
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