Sequence clustering is a basic bioinformatics task that is attracting renewed attention with
the development of metagenomics and microbiomics. The latest sequencing techniques …

Facing the explosive growth of biological sequence data, such as those of protein/peptide
and DNA/RNA, generated in the post-genomic age, many bioinformatical and mathematical …

Proteins play a pivotal role in biological systems. The use of machine learning algorithms for
protein classification can assist and even guide biological experiments, offering crucial …

In order to uncover the meanings of 'book of life', 155 different biological language models
(BLMs) for DNA, RNA and protein sequence analysis are discussed in this study, which are …

As the first web server to analyze various biological sequences at sequence level based on
machine learning approaches, many powerful predictors in the field of computational …

With the avalanche of biological sequences generated in the post-genomic age, one of the
most challenging problems in computational biology is how to effectively formulate the …

With the avalanche of biological sequences generated in the post-genomic age, one of the
most challenging problems is how to computationally analyze their structures and functions …

Motivation Being responsible for initiating transaction of a particular gene in genome,
promoter is a short region of DNA. Promoters have various types with different functions …

Motivation: Enhancers are of short regulatory DNA elements. They can be bound with
proteins (activators) to activate transcription of a gene, and hence play a critical role in …

Occurring at adenine (A) with the consensus motif GAC, N 6-methyladenosine (m 6 A) is one
of the most abundant modifications in RNA, which plays very important roles in many …