Simple Summary The rapidly advancing field of deep learning, specifically transformer-
based architectures and attention mechanisms, has found substantial applicability in …

A technique for chromosomal insertion of large DNA segments is much needed in plant
breeding and synthetic biology to facilitate the introduction of desired agronomic traits and …

ABSTRACT Natural Language Processing (NLP) is a subfield of artificial intelligence that
focuses on the interaction between computers and human language, enabling computers to …

Large language models (LLMs), such as ChatGPT, have taken the world by storm. However,
LLMs are not limited to human language and can be used to analyze sequential data, such …

Enhancers are crucial cis-regulatory elements that control gene expression in a cell-type-
specific manner. Despite extensive genetic and computational studies, accurately predicting …

In recent years, the prediction of antimicrobial peptides (AMPs) has gained prominence due
to their high antibacterial activity and reduced susceptibility to drug resistance, making them …

Identification and classification of enhancers are highly significant because they play crucial
roles in controlling gene transcription. Recently, several deep learning-based methods for …

Antimicrobial peptides (AMPs) are small peptides that play an important role in disease
defense. As the problem of pathogen resistance caused by the misuse of antibiotics …

Given the adverse effects faced by rice due to abiotic stresses, the precise and rapid
identification of single nucleotide polymorphisms (SNPs) associated with abiotic stress traits …

Motivation Identifying cis-regulatory elements (CREs) is crucial for analyzing gene
regulatory networks. Next generation sequencing methods were developed to identify CREs …