From DNA to protein: Why genetic code context of nucleotides for DNA signal processing? A review

M Ahmad, LT Jung, AA Bhuiyan - Biomedical Signal Processing and …, 2017 - Elsevier
Protein coding regions are commonly diffused with non-coding regions due to 1/f
background noise in such a way that a viable discernment between the two regions …

[PDF][PDF] Computational identification of promoter regions in prokaryotes and Eukaryotes

S Menon, S Piramanayakam… - … International Journal of …, 2021 - researchgate.net
Promoters are modular DNA structures that contain complex regulatory elements required
for the initiation of gene transcription. Therefore, the use of machine learning methods to …

Seqping: gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data

KL Chan, R Rosli, TV Tatarinova, M Hogan… - BMC …, 2017 - Springer
Background Gene prediction is one of the most important steps in the genome annotation
process. A large number of software tools and pipelines developed by various computing …

[PDF][PDF] A comprehensive review of emerging computational methods for gene identification

N Yu, Z Yu, B Li, F Gu, Y Pan - Journal of Information Processing …, 2016 - koreascience.kr
Gene identification is at the center of genomic studies. Although the first phase of the
Encyclopedia of DNA Elements (ENCODE) project has been claimed to be complete, the …

[HTML][HTML] CNNSplice: Robust models for splice site prediction using convolutional neural networks

V Akpokiro, HMAM Chowdhury, S Olowofila… - Computational and …, 2023 - Elsevier
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 …

Identification of protein coding regions in the eukaryotic DNA sequences based on Marple algorithm and wavelet packets transform

G Liu, Y Luan - Abstract and Applied Analysis, 2014 - Wiley Online Library
The identification of protein coding regions (exons) plays a critical role in eukaryotic gene
structure prediction. Many techniques have been introduced for discriminating between the …

DeepSplicer: an improved method of splice sites prediction using deep learning

V Akpokiro, O Oluwadare… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Post-transcriptional splicing of ribonucleic acid (mRNA) entails removing regions of RNA
sequences (Introns) that do not include information for protein synthesis. Thus, accurate …

[HTML][HTML] Detection of exon location in eukaryotic DNA using a fuzzy adaptive Gabor wavelet transform

L Das, JK Das, S Nanda - Genomics, 2020 - Elsevier
The existing model-independent methods for the detection of exons in DNA could not prove
to be ideal as commonly employed fixed window length strategy produces spectral leakage …

EnsembleSplice: ensemble deep learning model for splice site prediction

V Akpokiro, T Martin, O Oluwadare - BMC bioinformatics, 2022 - Springer
Background Identifying splice site regions is an important step in the genomic DNA
sequencing pipelines of biomedical and pharmaceutical research. Within this research …

An improved method for splice site prediction in DNA sequences using support vector machines

N Goel, S Singh, TC Aseri - Procedia Computer Science, 2015 - Elsevier
A vast amount of sequence data has been generated due to advancements in DNA
sequencing technology. This exponential increase requires new and efficient methods for …