Bleunomics
Bleunomics is dedicated to innovative computational drug discovery, utilizing advanced technologies such as DNA computing, data mining, statistical analysis, and computational therapeutics. They aim to develop sophisticated pipelines for clinical drug development, collaborate with partners for data validation, and contribute to genomic mapping and data visualization projects. Their work spans genomic analysis, data visualization, and research publications in biomedical fields.
Industries
Nr. of Employees
small (1-50)
Products
COVID-19 spike receptor analysis toolkit and visualizations
Analytic toolkit and visual materials for investigating spike protein receptor interactions and related visualizations for SARS-CoV-2.
Neo4j-based cancer dashboard
Graph-database dashboard developed for breast cancer data exploration and relationship analysis.
GenBank sequence contributions and sequence processing workflows
Submission of assembled sequences to public repositories and processing of sequence data using variant-calling workflows and distributed compute.
Research papers and theoretical methods in computational biology
Published and posted theoretical work covering grid computing for data visualization, quantum-similarity approaches to DNA representation, and computational approaches to chemical synthesis.
COVID-19 spike receptor analysis toolkit and visualizations
Analytic toolkit and visual materials for investigating spike protein receptor interactions and related visualizations for SARS-CoV-2.
Neo4j-based cancer dashboard
Graph-database dashboard developed for breast cancer data exploration and relationship analysis.
GenBank sequence contributions and sequence processing workflows
Submission of assembled sequences to public repositories and processing of sequence data using variant-calling workflows and distributed compute.
Research papers and theoretical methods in computational biology
Published and posted theoretical work covering grid computing for data visualization, quantum-similarity approaches to DNA representation, and computational approaches to chemical synthesis.
Services
Development of computational pipelines for target identification, candidate prioritization and preclinical therapeutic design intended for clinical advancement.
Analytics, statistical modeling and visualization of genomic and cancer data, including bespoke dashboards and graph-database visualizations.
Deployment and use of distributed/grid computing and decentralized architectures to accelerate large-scale bioinformatics workloads and data processing.
Development of computational pipelines for target identification, candidate prioritization and preclinical therapeutic design intended for clinical advancement.
Analytics, statistical modeling and visualization of genomic and cancer data, including bespoke dashboards and graph-database visualizations.
Deployment and use of distributed/grid computing and decentralized architectures to accelerate large-scale bioinformatics workloads and data processing.
Expertise Areas
- Computational drug discovery
- DNA computing and DNA data storage
- Genomic sequencing and variant analysis
- Genomic data analytics and visualization
Key Technologies
- DNA computing
- Next-generation sequencing workflows
- Variant calling (VCF/FASTA processing)
- PCR and experimental protein synthesis