Deeplasmid: deep learning accurately separates plasmids from bacterial chromosomes.

ABSTRACT: Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by mediating horizontal transfer of important genes, such as antimicrobial resistance genes. Many microbial genomes have been sequenced by short read sequencers and have resulted in a mix of contigs that derive from plasmids or chromosomes. New tools that accurately identify plasmids are needed to elucidate new plasmid-borne genes of high biological importance. We have developed Deeplasmid, a deep learning tool for distinguishing plasmids from bacterial chromosomes based on the DNA sequence and its encoded biological data. It requires as input only assembled sequences generated by any sequencing platform and assembly algorithm and its runtime scales linearly with the number of assembled sequences.

SUBMITTER: Andreopoulos WB 

PROVIDER: S-EPMC8860608 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature