Bioinformatics Infrastructure in Tanzania
Engineering Excellence & Technical Support
Bioinformatics Infrastructure solutions for Digital & Analytical. High-standard technical execution following OEM protocols and local regulatory frameworks.
High-Performance Computing (HPC) Cluster Deployment
Successfully deployed and configured a national HPC cluster, significantly accelerating genomic sequencing analysis and complex biological simulations for research institutions across Tanzania. This infrastructure provides unprecedented computational power, enabling faster discovery and innovation in areas like disease surveillance and agricultural genomics.
Secure and Scalable Cloud Bioinformatics Platform
Established a secure, cloud-based bioinformatics platform offering scalable storage and on-demand computational resources. This provides researchers with accessible, cost-effective tools for data analysis, collaboration, and reproducible research, removing previous hardware limitations and fostering wider participation in bioinformatics projects.
Nationwide High-Speed Data Network for Research
Implemented a high-speed, dedicated research network connecting key bioinformatics hubs and research institutions across Tanzania. This ensures seamless and rapid transfer of large genomic datasets, facilitating real-time collaboration, data sharing, and the efficient deployment of distributed computing resources nationwide.
What Is Bioinformatics Infrastructure In Tanzania?
Bioinformatics infrastructure in Tanzania refers to the integrated set of computational resources, data management systems, analytical tools, and skilled personnel necessary to support biological research, particularly in genomics, proteomics, transcriptomics, and other high-throughput biological data analyses. It encompasses hardware (e.g., high-performance computing clusters, servers, storage), software (e.g., bioinformatics pipelines, databases, statistical packages), and network connectivity. This infrastructure is crucial for processing, storing, analyzing, and interpreting the vast amounts of data generated by modern biological research, enabling researchers to derive meaningful insights and advance scientific discovery.
| Who Needs Bioinformatics Infrastructure? | Typical Use Cases | |||||
|---|---|---|---|---|---|---|
| Academic Researchers (Universities, Research Institutes): To conduct cutting-edge biological research, publish findings, and train students. | Genomic sequencing and analysis for disease surveillance (e.g., infectious diseases like malaria, HIV, COVID-19). | Crop improvement and agricultural research (e.g., identifying genes for drought resistance, disease resistance in staple crops). | Livestock breeding and disease management. | Environmental and biodiversity studies (e.g., understanding microbial communities, monitoring ecosystem health). | Drug discovery and development (e.g., identifying potential drug targets, analyzing molecular interactions). | Personalized medicine initiatives (e.g., understanding genetic predispositions to diseases). |
| Government Agencies (Ministry of Health, Ministry of Agriculture, Ministry of Environment): For public health initiatives, agricultural policy, and environmental monitoring. | Epidemiological studies and outbreak response (e.g., tracking pathogen evolution). | Development of diagnostic tools and vaccines. | Food security strategies. | Conservation efforts and wildlife management. | Biosecurity and biosurveillance. | |
| Biotechnology Companies: To develop new products and services, and for R&D. | Developing novel diagnostics and therapeutics. | Optimizing industrial processes using biological systems. | Bioprospecting for novel compounds. | |||
| Healthcare Providers (Hospitals, Diagnostic Laboratories): For clinical diagnostics and personalized patient care. | Genetic testing for inherited diseases. | Cancer genomics for targeted therapies. | Infectious disease diagnostics and outbreak investigation. | Pharmacogenomics to optimize drug response. | ||
| Students and Trainees: To acquire essential skills in modern biological research. | Educational programs in bioinformatics and computational biology. | Hands-on training in data analysis techniques. |
Components of Bioinformatics Infrastructure in Tanzania
- High-Performance Computing (HPC) Clusters: For rapid processing of large datasets.
- Data Storage Solutions: Secure and scalable storage for raw and processed biological data.
- Bioinformatics Software and Databases: Access to specialized tools for sequence alignment, variant calling, phylogenetic analysis, gene expression analysis, etc., and curated biological databases (e.g., GenBank, UniProt).
- Network Connectivity: Reliable and high-speed internet access to facilitate data transfer and remote access to resources.
- Skilled Personnel: Bioinformaticians, data scientists, and IT support staff with expertise in biological data analysis and computational biology.
- Data Management Platforms: Systems for organizing, cataloging, and sharing research data.
- Cloud Computing Resources: Potentially for scalable and on-demand computational power.
Who Needs Bioinformatics Infrastructure In Tanzania?
Bioinformatics infrastructure is crucial for advancing scientific research, public health, agriculture, and conservation efforts in Tanzania. This infrastructure supports the analysis of complex biological data, leading to better diagnostics, improved crop yields, and a deeper understanding of local ecosystems and diseases. Identifying the key stakeholders who will benefit from and contribute to such infrastructure is vital for its successful development and implementation.
| Department/Organization Type | Key Needs & Applications | Potential Contributions |
|---|---|---|
| Universities (e.g., University of Dar es Salaam, Sokoine University of Agriculture) | Genomic analysis for research projects, training of future bioinformaticians, data analysis for student theses. | Providing skilled personnel, generating research data, establishing local expertise. |
| Tanzania Commission for Science and Technology (COSTECH) | Policy development, funding allocation, coordination of national research efforts. | Strategic guidance, resource mobilization, promoting interdisciplinary collaboration. |
| National Institute for Medical Research (NIMR) | Pathogen genomics (malaria, HIV, TB, emerging infectious diseases), antimicrobial resistance surveillance, vaccine research. | Generating critical health data, identifying public health priorities, training health researchers. |
| Tanzania Agricultural Research Institute (TARI) | Genomic selection for crop and livestock improvement, pest and disease resistance studies, analysis of soil microbiomes. | Providing agricultural data, identifying traits for improvement, developing sustainable practices. |
| Wildlife Research Institute (TzWRI) / Tanzania National Parks Authority (TANAPA) | Population genetics of wildlife, biodiversity studies, disease surveillance in animals, forensic analysis. | Generating wildlife data, contributing to conservation strategies, training wildlife scientists. |
| Ministry of Health, Community Development, Gender, Elderly and Children | National disease surveillance, outbreak response, public health policy informed by genomic data. | Setting public health agendas, facilitating data sharing, policy implementation. |
| Ministry of Agriculture, Livestock and Fisheries | Ensuring food security through improved agricultural practices, livestock health management, policy formulation. | Driving agricultural innovation, promoting economic growth, ensuring food production. |
| Local Biotechnology Startups (Emerging) | Developing novel diagnostics, agricultural products, or industrial enzymes. | Fostering innovation, creating economic opportunities, contributing to technological advancement. |
Target Customers and Departments for Bioinformatics Infrastructure in Tanzania
- {"item":"Academic and Research Institutions","description":"Universities, research institutes, and centers of excellence are primary users. They require computational power and analytical tools for cutting-edge research across various biological disciplines."}
- {"item":"Public Health Sector","description":"Government health ministries, national public health laboratories, and disease surveillance centers need bioinformatics for outbreak detection, pathogen genomics, drug resistance monitoring, and epidemiological studies."}
- {"item":"Agricultural Sector","description":"National agricultural research organizations, crop and livestock breeding programs, and food security agencies will benefit from genomic analysis for crop improvement, disease resistance in livestock, and sustainable farming practices."}
- {"item":"Conservation and Wildlife Management","description":"National parks, wildlife research centers, and environmental agencies can use bioinformatics for population genetics, biodiversity assessments, species identification, and monitoring endangered species."}
- {"item":"Pharmaceutical and Biotechnology Companies (Emerging)","description":"While nascent, local or regional biotechnology startups and companies focusing on drug discovery, diagnostics development, or agricultural biotechnology will eventually require bioinformatics capabilities."}
- {"item":"Students and Trainees","description":"Undergraduate and postgraduate students, as well as researchers undergoing training, will use the infrastructure to learn bioinformatics skills and conduct their research projects."}
Bioinformatics Infrastructure Process In Tanzania
Bioinformatics infrastructure in Tanzania is a developing field, essential for advancing research in areas like genomics, disease surveillance, and agricultural biotechnology. The workflow for establishing and utilizing this infrastructure typically follows a structured process, starting from initial needs assessment and progressing through to implementation and ongoing maintenance. This process is crucial for ensuring that resources are effectively allocated, user needs are met, and the infrastructure can sustainably support scientific endeavors.
| Phase | Key Activities | Responsible Stakeholders | Deliverables |
|---|---|---|---|
| Inquiry/Needs Assessment | Identify research gaps, consult with stakeholders, document requirements. | Researchers, Principal Investigators, IT Departments, Ministry of Health/Agriculture. | Needs assessment report, prioritized list of infrastructure requirements. |
| Resource Mobilization & Funding Acquisition | Develop funding proposals, identify funding opportunities, engage with donors. | Research Institutions, Grant Offices, Project Managers, Government Agencies. | Secured funding, grant agreements. |
| Infrastructure Design & Planning | Define hardware/software specifications, network architecture, security protocols, scalability plans. | Bioinformaticians, IT Architects, System Administrators, External Consultants. | Technical design documents, system architecture blueprints, budget allocation. |
| Procurement & Installation | Issue tenders, select vendors, purchase equipment and licenses, install and configure systems. | Procurement Departments, IT Teams, Vendors, Project Managers. | Installed hardware and software, functional systems, user manuals. |
| Training & Capacity Building | Develop training curricula, conduct workshops, provide hands-on training, create online resources. | Training Specialists, Experienced Bioinformaticians, University Faculty. | Trained personnel, training materials, increased user competency. |
| Implementation & Deployment | Set up analytical pipelines, configure databases, integrate tools, pilot testing. | Bioinformaticians, Data Scientists, System Administrators. | Operational bioinformatics pipelines, populated databases, tested workflows. |
| User Support & Maintenance | Provide helpdesk support, troubleshoot issues, perform regular maintenance, apply updates and patches. | IT Support Teams, System Administrators, Helpdesk Staff. | Resolved user issues, maintained system uptime, updated software versions. |
| Data Management & Governance | Develop data policies, implement access controls, ensure data integrity, establish backup and recovery procedures. | Data Stewards, IT Security Officers, Legal/Ethics Committees, Researchers. | Data management plan, documented access policies, secure data storage. |
| Impact Assessment & Sustainability Planning | Evaluate research outputs, track usage statistics, plan for upgrades and future needs, develop long-term funding strategies. | Project Management Teams, Researchers, Institutional Leadership, Funders. | Impact assessment reports, sustainability plans, future infrastructure roadmaps. |
Bioinformatics Infrastructure Workflow in Tanzania
- Inquiry/Needs Assessment: This initial phase involves identifying specific bioinformatics research needs and challenges within Tanzanian institutions (universities, research centers, government agencies). It includes consultations with researchers, data scientists, and IT professionals to understand current capabilities, limitations, and future aspirations.
- Resource Mobilization & Funding Acquisition: Based on the assessed needs, proposals are developed to secure funding from various sources, including national government grants, international organizations, philanthropic foundations, and collaborative research projects.
- Infrastructure Design & Planning: This stage involves defining the technical specifications of the required infrastructure. This can range from hardware (servers, high-performance computing clusters, storage) and software (bioinformatics pipelines, databases, visualization tools) to network connectivity and data security protocols. Consideration is given to scalability, interoperability, and ease of use.
- Procurement & Installation: Once funding is secured and designs are finalized, the necessary hardware and software are procured. This involves tendering processes, vendor selection, and the physical installation and configuration of the infrastructure.
- Training & Capacity Building: A critical component is training Tanzanian researchers and technicians on how to effectively utilize the new bioinformatics infrastructure and tools. This includes workshops, online courses, and mentorship programs to build local expertise.
- Implementation & Deployment: The designed bioinformatics workflows, pipelines, and databases are implemented and deployed. This might involve setting up specific analytical tools for genomics, proteomics, or epidemiological data.
- User Support & Maintenance: Ongoing technical support is provided to users to address issues, troubleshoot problems, and ensure the smooth operation of the infrastructure. Regular maintenance, updates, and security patching are performed to keep the system functional and secure.
- Data Management & Governance: Establishing robust data management policies and governance frameworks is essential. This includes data storage, backup, archiving, access control, and ensuring compliance with ethical and privacy regulations.
- Impact Assessment & Sustainability Planning: The effectiveness and impact of the bioinformatics infrastructure are periodically assessed. This informs future development, upgrades, and long-term sustainability strategies, including the development of business models or continued funding applications.
Bioinformatics Infrastructure Cost In Tanzania
Bioinformatics infrastructure in Tanzania is influenced by a variety of factors, leading to a diverse pricing landscape. These factors include the type and scale of the infrastructure, the specific vendor or service provider, import duties and taxes, local availability of expertise for maintenance and support, and the ongoing operational costs. The pricing can range significantly, from initial capital investments for hardware and software to recurring subscription fees for cloud services and specialized databases. Availability of locally sourced components and services can sometimes offer cost advantages, but the reliance on imported technology for high-performance computing, specialized software, and advanced data storage often dictates higher prices. Furthermore, the specific applications of the bioinformatics infrastructure (e.g., genomics research, disease surveillance, agricultural biotechnology) can influence the required specifications and, consequently, the cost. For smaller research institutions or individual labs, shared infrastructure or cloud-based solutions might be more cost-effective than dedicated on-premises systems. Government initiatives and grants can also play a crucial role in subsidizing these costs, making advanced bioinformatics capabilities more accessible.
| Infrastructure Component/Service | Estimated Price Range (TZS) | Notes |
|---|---|---|
| Basic Workstation (High-Performance Laptop/Desktop) | 5,000,000 - 20,000,000 | Suitable for basic analysis, smaller datasets. Varies with RAM, CPU, GPU. |
| Small-Scale Server (for local analysis) | 15,000,000 - 50,000,000 | For departmental use, moderate datasets. Includes CPU, RAM, storage. |
| High-Performance Computing (HPC) Cluster (per node) | 25,000,000 - 80,000,000+ | Scalable; costs increase significantly with more nodes, specialized GPUs, and high-speed interconnects. |
| Data Storage Solutions (per TB) | 500,000 - 2,000,000 | Includes NAS/SAN, object storage. Cost depends on speed (HDD vs. SSD), capacity, and redundancy. |
| Commercial Bioinformatics Software License (annual) | 2,000,000 - 15,000,000+ | Per user, per module, or site licenses. Examples: commercial genome assemblers, variant callers. |
| Cloud Computing (e.g., AWS, Azure, Google Cloud - per instance/hour) | 500 - 10,000+ | Highly variable based on instance type, region, and usage. Can be cost-effective for variable workloads. |
| Cloud Storage (per TB/month) | 20,000 - 100,000+ | Depends on storage class (e.g., standard, infrequent access, archive). |
| Managed Bioinformatics Services (per project/retainer) | Negotiable (often starts at 10,000,000+ TZS) | Includes expert analysis, custom script development. Pricing is project-dependent. |
| Internet Bandwidth (dedicated connection, per Mbps/month) | 50,000 - 200,000+ | Crucial for data transfer and cloud access. Varies with provider and speed. |
| Annual Maintenance & Support Contract (percentage of hardware/software cost) | 5% - 15% | Essential for ensuring uptime and access to updates/support. |
Key Pricing Factors for Bioinformatics Infrastructure in Tanzania
- Hardware Acquisition (Servers, Storage, Networking)
- Software Licensing (Operating Systems, Bioinformatics Tools, Databases)
- Cloud Computing Services (Compute, Storage, Data Transfer)
- Installation and Configuration Services
- Maintenance and Support Contracts
- Training and Capacity Building
- Internet Connectivity and Bandwidth
- Power and Cooling Infrastructure
- Import Duties, Taxes, and Levies
- Local Expertise and Labor Costs
Affordable Bioinformatics Infrastructure Options
Acquiring and maintaining bioinformatics infrastructure can be a significant financial undertaking. Fortunately, various affordable options and cost-saving strategies exist for researchers and institutions. This guide outlines these possibilities, focusing on value bundles and practical approaches to minimize expenses without compromising necessary computational power and storage.
| Strategy/Option | Description | Value Bundle Example | Cost-Saving Aspect |
|---|---|---|---|
| Cloud Computing Services (e.g., AWS, Azure, GCP) | Leveraging scalable, on-demand computing resources, storage, and specialized bioinformatics services (e.g., managed databases, machine learning platforms). | Pre-configured bioinformatics environments on cloud marketplaces (e.g., AWS Deep Learning AMIs, Azure's Genomics service). | Pay-as-you-go model, reduced upfront capital expenditure, scalability allows for only paying for what you use, access to cutting-edge hardware without purchase. |
| On-Premises HPC Clusters (Shared or departmental) | Purchasing and managing your own dedicated computing hardware for intensive tasks. | Pooling resources from multiple departments or labs to share costs and increase capacity. | Lower long-term operational costs compared to constant cloud usage for predictable workloads, data sovereignty and control. |
| Open-Source Software and Tools | Utilizing free and widely available bioinformatics software packages (e.g., Bioconductor, Galaxy, GATK, Snakemake). | Utilizing pre-built containerized workflows (e.g., via Docker/Singularity) that bundle common open-source tools. | Eliminates licensing fees, fosters community support and development. |
| Collaborative Research Platforms | Partnering with other institutions or consortia to share infrastructure and resources. | Joining a national or regional HPC consortium, or cloud-based collaborative platforms. | Distributes the cost of hardware and maintenance, provides access to larger compute capacities. |
| Managed Data Storage Solutions | Using cost-effective, scalable storage solutions for large datasets. | Cloud storage tiers (e.g., AWS S3 Glacier, Azure Archive Storage), network-attached storage (NAS) with tiered storage. | Lower cost for archival or less frequently accessed data, reduces the need for expensive local storage upgrades. |
| Virtualization and Containerization | Optimizing resource utilization by running multiple virtual machines or containers on fewer physical servers. | Using Docker or Singularity to package applications and dependencies for reproducible and efficient deployment. | Increases hardware utilization, simplifies software deployment and management, reduces the number of physical servers needed. |
| Strategic Hardware Procurement | Carefully selecting hardware that balances performance and cost. | Bulk purchasing for institutional needs, negotiating discounts with vendors. | Avoiding over-provisioning, focusing on components essential for specific bioinformatics tasks. |
| Outsourcing Specific Tasks | Engaging third-party services for highly specialized or resource-intensive analyses that are infrequent. | Using specialized cloud-based genomic analysis pipelines or contract research organizations (CROs) for specific tasks. | Avoids the cost of maintaining niche expertise and dedicated hardware for occasional needs. |
Key Affordable Bioinformatics Infrastructure Options
- Cloud Computing Services
- High-Performance Computing (HPC) Clusters
- Open-Source Software and Tools
- Collaborative Research Platforms
- Data Management Solutions
Verified Providers In Tanzania
In Tanzania's growing healthcare landscape, identifying reliable and high-quality healthcare providers is paramount. Franance Health stands out as a leader, offering a network of verified providers that are committed to excellence in patient care, ethical practices, and adherence to stringent regulatory standards. This commitment makes them the best choice for individuals and organizations seeking dependable healthcare solutions.
| Provider Category | Franance Health Verification Criteria | Benefits to Patients |
|---|---|---|
| Hospitals | Accreditation from relevant national/international bodies, qualified medical staff, robust infrastructure, infection control protocols. | Access to advanced diagnostic and treatment facilities, comprehensive care under one roof, enhanced patient safety. |
| Clinics & Medical Centers | Licensed practitioners, up-to-date medical equipment, efficient patient management systems, adherence to primary care guidelines. | Convenient access to essential healthcare services, timely consultations, effective management of common health issues. |
| Specialist Doctors | Valid professional licenses, recognized postgraduate qualifications, proven experience in their specialty, positive patient feedback. | Expert diagnosis and treatment for specific medical conditions, access to specialized knowledge and advanced procedures. |
| Diagnostic Laboratories | Certified technologists, calibrated equipment, quality control measures, timely and accurate result delivery. | Reliable and precise diagnostic testing, crucial for accurate diagnosis and treatment planning. |
Why Franance Health's Verified Providers are the Best Choice:
- Unwavering Commitment to Quality: Franance Health rigorously vets all its affiliated providers, ensuring they meet the highest standards of medical expertise, patient safety, and service delivery.
- Strict Adherence to Ethical Practices: Providers within the Franance Health network are bound by a strict code of ethics, guaranteeing transparency, respect, and integrity in all patient interactions.
- Regulatory Compliance: All Franance Health partners comply with Tanzanian healthcare regulations, providing peace of mind regarding the legitimacy and safety of services rendered.
- Patient-Centric Approach: The focus is always on the patient's well-being. Verified providers prioritize personalized care, effective communication, and a compassionate approach to treatment.
- Access to a Diverse Network: Franance Health offers access to a broad spectrum of specialists and facilities, catering to a wide range of medical needs.
- Continuous Professional Development: Providers are encouraged and often required to engage in ongoing training and professional development to stay abreast of the latest medical advancements.
Scope Of Work For Bioinformatics Infrastructure
This Scope of Work (SoW) outlines the requirements for the establishment and maintenance of robust bioinformatics infrastructure. It details the technical deliverables and standard specifications necessary to support research and development activities, focusing on data storage, computational resources, software management, and security. The objective is to create a scalable, reliable, and secure environment for handling complex biological datasets and performing sophisticated analyses.
| Component | Specification | Key Features |
|---|---|---|
| Compute Cluster | Minimum 50 compute nodes, each with at least 64 CPU cores and 256 GB RAM. Support for GPU acceleration on a subset of nodes (e.g., 10 nodes with 4x NVIDIA V100 GPUs). High-speed interconnect (e.g., InfiniBand). | Scalability, parallel processing, support for various job schedulers (e.g., Slurm), GPU computing capabilities. |
| Data Storage | Minimum 1 PB of high-performance parallel file system (e.g., Lustre, BeeGFS) for active data. Separate archival storage solution (e.g., tape library, object storage) with a minimum of 5 PB capacity. Automated daily backups and quarterly disaster recovery testing. | High throughput, data redundancy, versioning, tiered storage, robust backup and recovery. |
| Software Repository | Centralized, version-controlled repository (e.g., Git) for all bioinformatics tools and custom scripts. Integration with containerization technologies (e.g., Docker, Singularity). Automated build and deployment pipelines. | Reproducibility, dependency management, easy access and installation of software, containerized environments. |
| Network Infrastructure | Dedicated 100 GbE network for compute cluster and storage. Secure VPN access for remote users. Firewall and intrusion detection/prevention systems. | High-speed data transfer, secure remote access, network segmentation, threat mitigation. |
| Security and Access Control | Role-based access control (RBAC) integrated with existing directory services (e.g., LDAP, Active Directory). Regular security audits and vulnerability assessments. Data encryption at rest and in transit. | Granular permissions, compliance with data privacy regulations, protection against unauthorized access. |
| Monitoring and Alerting | Comprehensive monitoring solution (e.g., Prometheus, Grafana) for system performance, resource utilization, and service availability. Automated alerts for critical events. | Proactive issue detection, performance optimization, real-time visibility into infrastructure health. |
Technical Deliverables
- High-performance compute cluster with defined specifications.
- Scalable data storage solution with backup and disaster recovery mechanisms.
- Centralized bioinformatics software repository with version control.
- Secure access control and user management system.
- Dedicated network infrastructure for high-speed data transfer.
- Monitoring and alerting system for infrastructure health.
- Documentation of infrastructure architecture, setup, and usage guidelines.
- Training materials and sessions for end-users and administrators.
Service Level Agreement For Bioinformatics Infrastructure
This Service Level Agreement (SLA) outlines the guaranteed response times and uptime for the Bioinformatics Infrastructure. This SLA is intended to ensure the reliable and efficient operation of the core bioinformatics services and resources provided to authorized users. It defines the expectations for service availability, support responsiveness, and the procedures for addressing service disruptions.
| Service Component | Uptime Guarantee | Response Time (Routine Issues) | Response Time (Critical Issues) | Definition of Critical Issue |
|---|---|---|---|---|
| HPC Cluster Access | 99.5% Monthly | 2 Business Hours | 1 Business Hour | Complete cluster unavailibity, impacting >50% of users or all core functionalities. |
| Data Storage & Archiving | 99.9% Monthly | 4 Business Hours | 2 Business Hours | Inability to access or write data to primary storage, or complete failure of backup/archival retrieval. |
| Bioinformatics Software | 99.0% Monthly | 8 Business Hours | 4 Business Hours | Core functionalities of critical software suites (e.g., alignment, assembly) are non-operational for a significant user base. |
| Database Access | 99.8% Monthly | 6 Business Hours | 3 Business Hours | Complete unavailability of essential databases, preventing core research workflows. |
| VM Environments | 99.0% Monthly | 4 Business Hours | 2 Business Hours | VMs become inaccessible, or critical services within VMs are non-operational. |
Key Service Components Covered
- High-Performance Computing (HPC) Cluster Access
- Data Storage and Archiving Solutions
- Pre-installed Bioinformatics Software Suites
- Database Access (e.g., genomics, proteomics)
- Virtual Machine (VM) Environments for specific projects
Frequently Asked Questions
Ready when you are
Let's scope your Bioinformatics Infrastructure in Tanzania project in Tanzania.
Scaling healthcare logistics and technical systems across the entire continent.