The virome is a type of metagenomic analysis performed on sequencing data from clinical or environmental samples, with the aim of identifying and characterizing viral agents present in the sample. With Varsmetagen, it is possible to inspect quality metrics, identify viral pathogens, obtain graphical representations of the abundance and diversity of the microbiota (viruses, bacteria, and fungi), recover complete viral genomes, and perform paired analyses for reporting and report generation.
The virome is a type of metagenomic analysis performed on sequencing data from clinical or environmental samples, with the aim of identifying and characterizing viral agents present in the sample. With Varsmetagen, it is possible to inspect quality metrics, identify viral pathogens, obtain graphical representations of the abundance and diversity of the microbiota (viruses, bacteria, and fungi), recover complete viral genomes, and perform paired analyses for reporting and report generation.
The bioinformatics pipeline for metagenomes enables the detection of various pathogens (bacteria, viruses, fungi, and eukaryotic parasites), as well as symbiotic microorganisms, through taxonomic analysis of reads and contigs, recovery of metagenome-assembled genomes (MAGs), and targeted mapping to a reference genome. With Varsmetagen, it is possible to perform the diagnosis of infectious diseases, characterize the microbiome and mycobiome, and generate comprehensive reports and diagnoses based on the results.
Viroma é um tipo de análise de metagenômica realizada em dados de sequenciamento de amostras clínicas ou ambientais, onde o objetivo é a identificação e caracterização dos agentes virais presentes na amostra. Com o Varsmetagen, é possível inspecionar métricas de qualidade, identificar patógenos virais, obter representações gráficas de abundância e diversidade da microbiota (vírus, bactérias e fungos), recuperar genomas virais completos e realizar análises pareadas para laudamento e geração de relatórios.
O pipeline de Microbioma (Metataxonomia ou Metabarcoding) oferece um tipo de análise para Amplicon (16S e ITS) realizada em dados de sequenciamento de amostras clínicas ou ambientais, onde o objetivo é avaliar a diversidade de microrganismos e identificação de disbioses presente na amostra. Com o Varsmetagen, é possível comparar os resultados com o banco de referência do Human Microbiome Project (HMP), além de inspecionar métricas de qualidade, observar disbioses e obter representações gráficas de abundância e diversidade do microbioma (bactérias e fungos).
O pipeline de bioinformática para metagenomas possibilita a detecção de diversos patógenos (bactérias, vírus, fungos e parasitas eucarióticos) e também de microrganismos simbióticos, por meio de análises taxonômicas de reads e contigs, recuperação de genomas de metagenomas (MAGs) e mapeamento direcionado em genoma de referência. Com o Varsmetagen é possível realizar o diagnóstico de doenças infecciosas, caracterizar o microbioma e micobioma, e emitir laudos e relatórios completos sobre os resultados.
Our cloud-based software allows researchers and healthcare professionals to investigate microbial genetic data in a fast, efficient, and scalable way.
Use pie charts, sunburst charts, and useful tables to get the best out of your data.
Artificial Intelligence algorithms developed in a unique way for providing anomaly scores to our users, allowing them to distinguish normal microbiota species from those acting as pathogens.
Our state-of-the-art tools were developed minding different types of users. Our clients don’t need advanced coding knowledge to perform analysis but advanced features are available.
As the best hospital in Latin America, Hospital Israelita Albert Einstein and Varsmetagen uses the best industry protocols to keep your and your patients data safe. All data submitted to our platform are protected by our strict privacy policy.
SARS-Omics Project
The SARS-Omics Project emerged at the beginning of the COVID-19 pandemic and performs the sequencing of the COVID-19 virus, SARS-CoV-2, as well as studying co-infections with other viruses, bacteria, and fungi in the respiratory tract of COVID-19 patients. A tremendous amount of NGS data has been generated by the project, and the practicality and scalability of Varsmetagen have been helpful in the process of analyzing and interpreting these results.
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Varsmetagen is a platform based on the most advanced cloud computing technologies, which allows the creation of a metagenomic datalake for integrated analysis of omics data from institutions that wish to benefit from this technology. Through the datalake, it is possible to structure data from different types and sources, producing tables and repositories with centralized data for statistical analysis, training of artificial intelligence models, and dashboard visualizations. Many of the analyses enabled by the datalake have become features available to all organizations using Varsmetagen, such as the Anomaly meter™ and Varsdata™.
Deyvid Amgarten, PhD
Metagenomics / Viral genomics
Ana Carolina Soares, PhD
Metagenomics / Microbiology
Raquel
Castillo, PhD
Metagenomics
Raquel
Riyuzo, PhD
Metagenomics / Bacterial genomics
Erick
Dorlass, MSc
Viral genomics
Tania Girão Mangolini
Bioinformatics
Pedro
Sebe
Data science
To enable and promote access to the use of new genetic technologies to enhance medical treatments and population health.