Genome One Easy
Discover our tool for analyzing genomic data from VCF files
Software for annotation and clinical interpretation of variants
Genome One Easy is a software developed by Dreamgenics that allows the annotation, filtering, review and clinical interpretation of genetic variants from VCF files from Illumina, MGI and Ion Torrent sequencers.
Thanks to the automation of many processes, its use is simple and intuitive, requiring no previous experience in bioinformatics on the part of the user. In addition, Genome One Easy is certified by AENOR in the UNE-EN ISO 13485:2016 standard.
Bioinformatics Services
Main features
Genome One Easy has been designed to facilitate daily work, offering a friendly and customizable environment to adapt to the preferences of each user.
Access and home screen
- Secure access with two-factor authentication
- Workspace optimization
- Scorecard for job tracking
- Multiple users per workgroup
- Multi-language platform
File Upload and Annotation
- User-friendly and easy-to-use environment
- Simple VCF file upload (Illumina, MGI and Ion Torrent)
- Traceability and categorization of inputs, analyses and projects
- Annotation pipeline: population, functional, in silico functional impact prediction and clinical databases
Filtering and Review
- Variant annotation with VarSome
- Filtering through facets and columns
- Configuration of automatic filters
- View customization
- Review of variants with ACMG criteria
- Proprietary database of reviews
Reports
- Highly customizable
- Creation of predefined and reusable templates
- Predefined static information blocks to streamline reporting
- Editable fields to include personalized information
- Direct integration of selected variants
- Export to pdf and secure storage on the platform
Security of the information used
We go to great lengths to ensure the security of the data we work with.
For this reason, our Genome One Easy software meets the highest quality standards:
- GDPR Compliance
- ISO 9001:2015
- UNE-EN ISO 13485:2018
- UNE-ISO/IEC 27001:2017
