Helix BioS
Bioinformatics and applied-omics company providing sequencing-based analysis, data science and field-to-lab workflows for clients in healthcare, mining, agriculture and environmental sectors. Services include NGS and metagenomic sequencing workflows, bioinformatic and biostatistical analysis, machine-learning model development, and environmental biotechnology applications such as biolixiviation and biorremediation. Headquartered in Madrid with operations in Peru.
Industries
Nr. of Employees
small (1-50)
Helix BioS
Parque Científico de Madrid, Calle Faraday nº 7, Campus de Cantoblanco, 28049 Madrid, Spain
Products
Biomodules for remediation experiments
Modular field installations for intensive experimentation to evaluate remediation coverings and active treatments at mining sites; used to compare multiple remediation strategies in situ.
Metagenomic analysis reports and dashboards
Delivered technical reports and dashboards synthesizing sequencing, environmental and agronomic data into interpretable metrics and predictive outputs for clients.
Biomodules for remediation experiments
Modular field installations for intensive experimentation to evaluate remediation coverings and active treatments at mining sites; used to compare multiple remediation strategies in situ.
Metagenomic analysis reports and dashboards
Delivered technical reports and dashboards synthesizing sequencing, environmental and agronomic data into interpretable metrics and predictive outputs for clients.
Services
Processing and interpretation of sequencing datasets, taxonomic and functional identification, abundance estimation and reporting for biological and environmental samples.
Bivariable and multivariable analyses, microbial community analysis, spatial statistics, high-dimensional survival analysis and exploratory data analysis; development of dashboards.
Design and support for biolixiviation, biorremediation and microbial-based prospecting; pilot tests, process controls and monitoring.
Soil sampling design, metagenomic analysis of soil microbiome, integration with soil physico-chemical data and remote-sensing imagery to build predictive models and management dashboards.
Processing and interpretation of sequencing datasets, taxonomic and functional identification, abundance estimation and reporting for biological and environmental samples.
Bivariable and multivariable analyses, microbial community analysis, spatial statistics, high-dimensional survival analysis and exploratory data analysis; development of dashboards.
Design and support for biolixiviation, biorremediation and microbial-based prospecting; pilot tests, process controls and monitoring.
Soil sampling design, metagenomic analysis of soil microbiome, integration with soil physico-chemical data and remote-sensing imagery to build predictive models and management dashboards.
Expertise Areas
- Bioinformatics and omics data analysis
- Metagenomics and microbiome analysis
- Environmental biotechnology and biohydrometallurgy
- Precision agriculture analytics
Key Technologies
- Next-generation sequencing (NGS)
- 16S and shotgun metagenomic sequencing
- NGS library preparation and sequencing workflows
- Taxonomic and functional profiling
News & Updates
Project using NGS metagenomics and data analytics to study soil microbiome of olive crops and build predictive models for resource optimization.
Description of metagenomic approaches and bioinformatic analysis applied to acidic mine drainage remediation projects in Peru.
Coverage noting a mining remediation project finalist using biotechnology to treat acidic mine water with reduced non-recoverable sludge.
Project using NGS metagenomics and data analytics to study soil microbiome of olive crops and build predictive models for resource optimization.
Description of metagenomic approaches and bioinformatic analysis applied to acidic mine drainage remediation projects in Peru.
Coverage noting a mining remediation project finalist using biotechnology to treat acidic mine water with reduced non-recoverable sludge.