BioSeq-BLM

BioSeq-BLM analyzes DNA, RNA, and protein sequences using 155 biological language models to extract linguistic properties for sequence representation and predictive modeling.

Key Features:

• Biological Language Models (BLMs): Integrates 155 BLMs tailored for DNA, RNA, and protein sequences to identify and analyze linguistic patterns in biological data.
• Automated Sequence Representation: Extends BLMs into an automated system for representing and analyzing sequence data.
• Predictor Development and Performance: Produces predictors whose experimental performance is reported as comparable to or surpassing existing state-of-the-art methods in biological sequence prediction.

Scientific Applications:

• Genomic and Transcriptomic Analysis: Applies BLM-derived representations to investigate genomic structures and transcriptomic dynamics.
• Protein Function Prediction: Uses sequence-based linguistic features to inform predictions of protein function.
• Comparative Genomics: Enables comparative analyses across species by comparing sequence linguistic patterns.

Methodology:

Uses 155 biological language models to extract and interpret linguistic properties of DNA, RNA, and protein sequences and to generate automated sequence representations and predictive models.