منابع مشابه
Gene finding by integrating gene finders
Gene finding, the accurate annotation of genomic DNA, has become one of the central topics in biological research. Although various computational methods (gene finders) have been proposed and developed, they all have their own limitations in gene findings. In this paper, we introduce an integrating gene finder, which combines the results of several existing gene finders together, to improve the...
متن کاملGene Recognition Using Multiple Gene-Finding Programs
This paper demonstrates how e ective re-analysis of the results of multiple genending programs is. Four simple algorithms to integrate the results of some programs are proposed and tested. Our experiments show that it is e ective to use multiple genending programs simultaneously. We also developed a client program by which one can easily use the algorithm through the Internet.
متن کاملGene recognition by combination of several gene-finding programs
MOTIVATION A number of programs have been developed to predict the eukaryotic gene structures in DNA sequences. However, gene finding is still a challenging problem. RESULTS We have explored the effectiveness when the results of several gene-finding programs were re-analyzed and combined. We studied several methods with four programs (FEXH, GeneParser3, GEN-SCAN and GRAIL2). By HIGHEST-policy...
متن کاملEvaluation of gene-finding programs on mammalian sequences.
We present an independent comparative analysis of seven recently developed gene-finding programs: FGENES, GeneMark.hmm, Genie, Genescan, HMMgene, Morgan, and MZEF. For evaluation purposes we developed a new, thoroughly filtered, and biologically validated dataset of mammalian genomic sequences that does not overlap with the training sets of the programs analyzed. Our analysis shows that the new...
متن کاملEvaluating bacterial gene-finding HMM structures as probabilistic logic programs
MOTIVATION Probabilistic logic programming offers a powerful way to describe and evaluate structured statistical models. To investigate the practicality of probabilistic logic programming for structure learning in bioinformatics, we undertook a simplified bacterial gene-finding benchmark in PRISM, a probabilistic dialect of Prolog. RESULTS We evaluate Hidden Markov Model structures for bacter...
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ژورنال
عنوان ژورنال: Seibutsu Butsuri
سال: 2000
ISSN: 0582-4052,1347-4219
DOI: 10.2142/biophys.40.s67_2