iterb-PPse: Identification of transcriptional terminators in bacterial by incorporating nucleotide properties into PseKNC-Reference-Cited by-同舟云学术

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iterb-PPse: Identification of transcriptional terminators in bacterial by incorporating nucleotide properties into PseKNC

Published:2020-05-15 Issue:5 Volume:15 Page:e0228479
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Fan Yongxian,Wang Wanru^ORCID,Zhu Qingqi

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation

Innovation Project of GUET Graduate Education

Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics

Guangxi Key Laboratory of Trusted Software

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference47 articles.

1. Control of transcription termination in prokaryotes;TM Henkin;Annual review of genetics,1996

2. Prediction of Transcriptional Terminators in Bacillus subtilis and Related Species;MJL De Hoon;PLoS Computional Biology,2005

3. ARNold: A web tool for the prediction of Rho-independent transcription terminators;M Naville;RNA Biology,2011

4. RhoTermPredict: an algorithm for predicting Rho-dependent transcription terminators based on Escherichia coli, Bacillus subtilis and Salmonella enterica databases;M Di Salvo;BMC Bioinformatics,2019

5. iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators;CQ Feng;Bioinformatics,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BacTermFinder: A Comprehensive and General Bacterial Terminator Finder using a CNN Ensemble;2024-07-08

2. m6Aminer: Predicting the m6Am Sites on mRNA by Fusing Multiple Sequence-Derived Features into a CatBoost-Based Classifier;International Journal of Molecular Sciences;2023-04-26

3. Phage Annotation Guide: Guidelines for Assembly and High-Quality Annotation;PHAGE;2021-12-01

4. Using multi-layer perceptron to identify origins of replication in eukaryotes via informative features;BMC Bioinformatics;2021-10-23

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