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Computomics provides Metagenomics Data Analysis Solutions for bacterial, archaeal, fungal and viral community profiling that enable you to identify thousand of species
About
Superior genomics and bioinformatics approaches facilitate the understanding of highly complex microbial environments. Computomics provides Metagenomics Data Analysis Solutions for bacterial, archaeal, fungal and viral community profiling that enable you to simultaneously identify thousand of species, millions of genes, and diverse biochemical pathways relevant to agriculture, medicine, and the environment. We deliver deep, actionable metagenomics insights through an easy-to-understand interface. If you wish, we support you through all stages of your research project - from experimental design to data collection, sequencing, analysis, to a written results report.
Key Benefits
- Visualize – Immediate results and visualization of taxonomy and function in your browser (even on a tablet or phone)
- Compare – Fully compare datasets with each other, easily add new results any time when they become available
- Protect – Easy-to-use, secure web interface
- Export – No data preprocessing, fully compatible with MEGAN6
- Scale – Scalable platform, open for third-party analysis technologies
Applications
Computomics offers personalized support and service for all stages of your research project – from experimental design to data collection, analysis and a written report. We take the time to develop a profound understanding of your research goals before we help plan an experiment. This enables us to give valid experimental recommendations on the front end, such as number of required samples, technical and biological replicates, sequencing technology and required depth of coverage.
On the back end, we perform bioinformatics and statistical analysis, applying innovative machine learning methods where applicable. The final project report includes powerful visualizations, a full methods section and a summary of key findings. Our experts not only help to design experiments and to visualize data, but also to deliver insightful, actionable results.