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Evaluation of exon prediction tools using a long DNA sequence data (1995)

Abstract
We have evaluated the ability to locate coding regions of two exon prediction software, GRAIL and FEX, using a long (about 301k bases) genomic DNA sequence. We performed an experiment to check the correctness of the exon candidates with high scores. FEX was more sensitive but less specific than GRAIL. The numbers of the exons predicted by both tools were much less than our simple estimation from the sequence length. To reduce more unreliable candidates, we proposed guidelines for users. If one uses the guidelines, both tools would be more practical even for DNA sequences longer than 100,000 bases. 1 Introduction Locating and identifying genes from a newly sequenced genomic DNA by computing is one of the major challenges in bioinformatics. To date, several systems to predict protein coding regions or modeling gene structure have been developed in this decade. Although the performances of these systems have been compared in the papers which each system was presented in, the objective co...

Publication details
Download http://citeseer.ist.psu.edu/3712.html
Source http://www.genome.ad.jp/manuscripts/GIW95/Poster/GIW95P07.ps
Publisher unknown
Contributors The Pennsylvania State University CiteSeer Archives
Repository CiteSeer (United States)
Keywords Katsuhiko Murakami,Shiho Tsukuni,Toshihisa Takagi,Masahira Hattori Evaluation of exon prediction tools using a long DNA sequence data
Language Englisch