Gene recognition via spliced sequence alignment.
نویسندگان
چکیده
منابع مشابه
Gene recognition via spliced sequence alignment.
Gene recognition is one of the most important problems in computational molecular biology. Previous attempts to solve this problem were based on statistics, and applications of combinatorial methods for gene recognition were almost unexplored. Recent advances in large-scale cDNA sequencing open a way toward a new approach to gene recognition that uses previously sequenced genes as a clue for re...
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An important and still unsolved problem in gene prediction is designing an algorithm that not only predicts genes but estimates the quality of individual predictions as well. Since experimental biologists are interested mainly in the reliability of individual predictions (rather than in the average reliability of an algorithm) we attempted to develop a gene recognition algorithm that guarantees...
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MOTIVATION Clustering sequences of a full-length cDNA library into alternative splice form candidates is a very important problem. RESULTS We developed a new efficient algorithm to cluster sequences of a full-length cDNA library into alternative splice form candidates. Current clustering algorithms for cDNAs tend to produce too many clusters containing incorrect splice form candidates. Our al...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 1996
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.93.17.9061