In the rapidly evolving landscape of genomics, deep learning has emerged as a useful tool
for tackling complex computational challenges. This review focuses on the transformative …

Large language models (LLMs) are a class of artificial intelligence models based on deep
learning, which have great performance in various tasks, especially in natural language …

The data explosion driven by advancements in genomic research, such as high-throughput
sequencing techniques, is constantly challenging conventional methods used in genomics …

Motivation: Large language models, trained on enormous corpora of biological sequences,
are state-of-the-art for downstream genomic and proteomic tasks. Since the genome …

Language modeling has seen impressive progress over the last years, mainly prompted by
the invention of the Transformer architecture, sparking a revolution in many fields of machine …

Large scale self-supervised pre-training of Transformer language models has advanced the
field of Natural Language Processing and shown promise in cross-application to the …

The genome sequence contains the blueprint for governing cellular processes. While the
availability of genomes has vastly increased over the last decades, experimental annotation …

Protein is linked to almost every life process. Therefore, analyzing the biological structure
and property of protein sequences is critical to the exploration of life, as well as disease …

In this paper, we describe the capabilities and constraints of Large Language Models
(LLMs) within disparate academic disciplines, aiming to delineate their strengths and …

Large language models (LLMs) have transformed the interpretation and creation of human
language in the rapidly developing field of computerized language processing. These …