Journal article
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Y Zhu, F Li, D Xiang, T Akutsu, J Song, C Jia
Briefings in Bioinformatics | OXFORD UNIV PRESS | Published : 2021
DOI: 10.1093/bib/bbaa299
Abstract
A promoter is a region in the DNA sequence that defines where the transcription of a gene by RNA polymerase initiates, which is typically located proximal to the transcription start site (TSS). How to correctly identify the gene TSS and the core promoter is essential for our understanding of the transcriptional regulation of genes. As a complement to conventional experimental methods, computational techniques with easy-to-use platforms as essential bioinformatics tools can be effectively applied to annotate the functions and physiological roles of promoters. In this work, we propose a deep learning-based method termed Depicter (Deep learning for predicting promoter), for identifying three sp..
View full abstractGrants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
National Natural Scientific Foundation of China (grant 62071079), Fundamental Research Funds for the Central Universities (3132020170, 3132019323), the National Natural Science Foundation of Liaoning Province (20180550223), double first-class construction special items ('innovative project') (345148012004). National Health and Medical Research Council of Australia (NHMRC) (1144652 and 1127948), the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (R01 AI111965), a Major Inter-Disciplinary Research (IDR) project awarded by Monash University, and the Collaborative Research Program of Institute for Chemical Research, Kyoto University (2019-32 and 2018-28).