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- W2892079508 abstract "Transcription termination is an important regulatory step of gene expression. If there is no terminator in gene, transcription could not stop, which will result in abnormal gene expression. Detecting such terminators can determine the operon structure in bacterial organisms and improve genome annotation. Thus, accurate identification of transcriptional terminators is essential and extremely important in the research of transcription regulations.In this study, we developed a new predictor called 'iTerm-PseKNC' based on support vector machine to identify transcription terminators. The binomial distribution approach was used to pick out the optimal feature subset derived from pseudo k-tuple nucleotide composition (PseKNC). The 5-fold cross-validation test results showed that our proposed method achieved an accuracy of 95%. To further evaluate the generalization ability of 'iTerm-PseKNC', the model was examined on independent datasets which are experimentally confirmed Rho-independent terminators in Escherichia coli and Bacillus subtilis genomes. As a result, all the terminators in E. coli and 87.5% of the terminators in B. subtilis were correctly identified, suggesting that the proposed model could become a powerful tool for bacterial terminator recognition.For the convenience of most of wet-experimental researchers, the web-server for 'iTerm-PseKNC' was established at http://lin-group.cn/server/iTerm-PseKNC/, by which users can easily obtain their desired result without the need to go through the detailed mathematical equations involved." @default.
- W2892079508 created "2018-09-27" @default.
- W2892079508 creator A5006282435 @default.
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- W2892079508 creator A5073409235 @default.
- W2892079508 creator A5084573104 @default.
- W2892079508 date "2018-10-21" @default.
- W2892079508 modified "2023-10-16" @default.
- W2892079508 title "iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators" @default.
- W2892079508 cites W1253096047 @default.
- W2892079508 cites W1484114705 @default.
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- W2892079508 cites W1549877559 @default.
- W2892079508 cites W1602283030 @default.
- W2892079508 cites W1663797894 @default.
- W2892079508 cites W1711085333 @default.
- W2892079508 cites W1914245470 @default.
- W2892079508 cites W1966807997 @default.
- W2892079508 cites W1972265170 @default.
- W2892079508 cites W1976882280 @default.
- W2892079508 cites W1976978745 @default.
- W2892079508 cites W1983808106 @default.
- W2892079508 cites W1986784214 @default.
- W2892079508 cites W1995285602 @default.
- W2892079508 cites W2001349696 @default.
- W2892079508 cites W2004132756 @default.
- W2892079508 cites W2005436483 @default.
- W2892079508 cites W2010201333 @default.
- W2892079508 cites W2015990617 @default.
- W2892079508 cites W2017775009 @default.
- W2892079508 cites W2021823827 @default.
- W2892079508 cites W2022889591 @default.
- W2892079508 cites W2038873127 @default.
- W2892079508 cites W2040183015 @default.
- W2892079508 cites W2042286958 @default.
- W2892079508 cites W2043296204 @default.
- W2892079508 cites W2048279801 @default.
- W2892079508 cites W2051514418 @default.
- W2892079508 cites W2093567555 @default.
- W2892079508 cites W2099298539 @default.
- W2892079508 cites W2101536723 @default.
- W2892079508 cites W2103525038 @default.
- W2892079508 cites W2107337820 @default.
- W2892079508 cites W2114024619 @default.
- W2892079508 cites W2120026469 @default.
- W2892079508 cites W2120900330 @default.
- W2892079508 cites W2124266758 @default.
- W2892079508 cites W2132247880 @default.
- W2892079508 cites W2139166279 @default.
- W2892079508 cites W2139212933 @default.
- W2892079508 cites W2139695444 @default.
- W2892079508 cites W2144539964 @default.
- W2892079508 cites W2153635508 @default.
- W2892079508 cites W2154053567 @default.
- W2892079508 cites W2157642860 @default.
- W2892079508 cites W2168012258 @default.
- W2892079508 cites W2170747616 @default.
- W2892079508 cites W2217901696 @default.
- W2892079508 cites W2232370058 @default.
- W2892079508 cites W2254740876 @default.
- W2892079508 cites W2400814742 @default.
- W2892079508 cites W2501904318 @default.
- W2892079508 cites W2508405377 @default.
- W2892079508 cites W2514534732 @default.
- W2892079508 cites W2520682509 @default.
- W2892079508 cites W2528774686 @default.
- W2892079508 cites W2553132141 @default.
- W2892079508 cites W2563322674 @default.
- W2892079508 cites W2582058293 @default.
- W2892079508 cites W2591975816 @default.
- W2892079508 cites W2622345656 @default.
- W2892079508 cites W2726111596 @default.
- W2892079508 cites W2735537070 @default.
- W2892079508 cites W2737592062 @default.
- W2892079508 cites W2763789477 @default.
- W2892079508 cites W2766389776 @default.
- W2892079508 cites W2794797435 @default.
- W2892079508 cites W2800333284 @default.
- W2892079508 cites W2805110914 @default.
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- W2892079508 cites W2886373325 @default.
- W2892079508 cites W2889300381 @default.
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- W2892079508 doi "https://doi.org/10.1093/bioinformatics/bty827" @default.
- W2892079508 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30247625" @default.
- W2892079508 hasPublicationYear "2018" @default.
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