BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models. Issue 22 (28th September 2021)

• Record Type: Journal Article
• Authors: Li, Hong-Liang; Pang, Yi-He; Liu, Bin
• Is Part Of: Nucleic acids research. Volume 49:Issue 22(2021)
• Page Start: e129
• Page End: e129
• Publication Date: 2021-09-28
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkab829
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: 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 able to extract the linguistic properties of 'book of life'. We also extend the BLMs into a system called BioSeq-BLM for automatically representing and analyzing the sequence data. Experimental results show that the predictors generated by BioSeq-BLM achieve comparable or even obviously better performance than the exiting state-of-the-art predictors published in literatures, indicating that BioSeq-BLM will provide new approaches for biological sequence analysis based on natural language processing technologies, and contribute to the development of this very important field. In order to help the readers to use BioSeq-BLM for their own experiments, the corresponding web server and stand-alone package are established and released, which can be freely accessed at http://bliulab.net/BioSeq-BLM/ .