Meet Varsmetagen
Platform for analysis and identification of microorganisms.
In the upload step, upload the NGS sequencing raw files of the clinical samples. Varmetagen accepts the main formats (FASTQ and FASTQ.GZ)
Optimize processing time, microorganism identification, and report generation from NGS human genetic samples.
A bioinformatics pipeline is responsible for performing quality analysis, taxonomic identification of organisms, specific mappings, and pre-classifications following rules created to facilitate the analysis and identification of pathogens.
Information from public databases such as ViralZone and NCBI, as well as additional results to support and validate findings
The analysis of many clinical samples allows for the training of artificial intelligence-based models to generate an anomaly score and organism frequency metrics to assist the user in the analysis process.
The SarsOmics project, funded by CNPq, emerged at the beginning of the pandemic and performs the sequencing of the COVID-19 virus, SARS-CoV-2, in addition to studying co-infections with other viruses, bacteria and fungi in the respiratory tract of patients with COVID-19.
A huge amount of NGS data has been generated by the project, and the practicality and scalability of Varsmetagen has helped in the process of analysis and interpretation of these results.