Plant biotechnologists seek to modify plants through genetic reprogramming, but our ability
to precisely control gene expression in plants is still limited. Here, we review transcription …

The identification of splice site, or segments of an RNA gene where noncoding and coding
sequences are connected in the 5′ and 3′ directions, is an essential post-transcriptional …

Background Identifying splice site regions is an important step in the genomic DNA
sequencing pipelines of biomedical and pharmaceutical research. Within this research …

Identifying splice sites is essential for gene structure analysis and eukaryotic genome
annotation. Recently, computational and deep learning approaches for splice site detection …

Identifying gene splicing is a core and significant task confronted in modern collaboration
between artificial intelligence and bioinformatics. Past decades have witnessed great efforts …

The identification of splice sites is significant to the delineation of gene structure and the
understanding of complicated alternative mechanisms underlying gene transcriptional …

In this study, we investigate the impact of introns on the effectiveness of splice site prediction
using deep learning models, focusing on Arabidopsis thaliana. We specifically utilize U2 …

Several computational methods for the differential analysis of alternative splicing (AS)
events among RNA-seq samples typically rely on estimating isoform-level gene expression …

Deep learning models like convolutional neural networks (CNN) and recurrent neural
networks (RNN) have been used to identify splice sites from genome sequences. Most deep …