James D. McIninch

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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)
The nucleotide sequence data for yeast mitochondrial ribosomal protein (MRP) genes were analyzed by the computer program GeneMark which predicts the presence of likely genes in sequence data by calculating statistical biases in the appearance of consecutive nucleotides. The program uses a set of standard sequence data for this calculation. We used this(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)
We further investigated the statistical features of the three classes of Escherichia coli genes that have been previously delineated by factorial correspondence analysis and dynamic clustering methods. A phased Markov model for a nucleotide sequence of each gene class was developed and employed for gene prediction using the GeneMark program. The(More)
Ureidoglycolate lyase (UGL, EC catalyzes the breakdown of ureidoglycolate to glyoxylate and urea, which is the final step in the catabolic pathway leading from purines to urea. Although the sequence of enzymatic steps was worked out nearly 40 years ago, the stereochemistry of the uric acid degradation pathway and the catalytic properties of UGL(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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