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Improving gene recognition accuracy by combining predictions from two gene-finding programs
2002
Bioinformatics
Motivation: Despite constant improvements in prediction accuracy, gene-finding programs are still unable to provide automatic gene discovery with desired correctness. The current programs can identify up to 75% of exons correctly and less than 50% of predicted gene structures correspond to actual genes. New approaches to computational gene-finding are clearly needed. Results: In this paper we have explored the benefits of combining predictions from already existing gene prediction programs. We
doi:10.1093/bioinformatics/18.8.1034
pmid:12176826
fatcat:winnehv5eve25nhndm33bb3a6i