Resumen

HERNANDEZ, Marta; QUIJADA, Narciso M.; LAZARO, David Rodríguez  y  EIROS, José María. Bioinformatics of next generation sequencing in clinical microbiology diagnosis. Rev. argent. microbiol. [online]. 2020, vol.52, n.2, pp.101-110. ISSN 0325-7541.  http://dx.doi.org/10.1016/j.ram.2019.06.003.

Massive parallel sequencing (High-Throughput Sequencing [HTS]) allows to read millions or billions of DNA sequences or fragments (reads) in parallel and is revolutionizing microbiology research, moving from laboratory methods to computed-assisted analyses, with the compelling use of Bioinformatics. The time and cost reduction in studies on the microbiota, microbiome and metagenome, allows to rapidly progress in diagnosis, taxonomy, epidemiology, comparative genomics, virulence, discovery of genes or variants of interest and the association of microorganisms with traditionally considered non-microbial diseases. In this review, the terminology, the sequencing technologies and their applications are described for microbial analysis using open-source bioinformatics software, analysis pipelines, databases and web platforms that allow a user-friendly bioinformatics approach affordable by the clinical microbiologist and infectious disease practitioners.

Palabras clave : DNA; NGS; Diagnosis; Bioinformatics; WGS; Microbiota.