The MetaGens algorithm for metagenomic database lossy compression and subject alignment.

ABSTRACT: The advancement of genetic sequencing techniques led to the production of a large volume of data. The extraction of genetic material from a sample is one of the early steps of the metagenomic study. With the evolution of the processes, the analysis of the sequenced data allowed the discovery of etiological agents and, by corollary, the diagnosis of infections. One of the biggest challenges of the technique is the huge volume of data generated with each new technology developed. To introduce an algorithm that may reduce the data volume, allowing faster DNA matching with the reference databases. Using techniques like lossy compression and substitution matrix, it is possible to match nucleotide sequences without losing the subject. This lossy compression explores the nature of DNA mutations,

SUBMITTER: Cervi GH 

PROVIDER: S-EPMC10419334 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature