Genomics Core Facilities in Senegal
Engineering Excellence & Technical Support
Genomics Core Facilities solutions for Research & Discovery (R&D). High-standard technical execution following OEM protocols and local regulatory frameworks.
Advanced DNA Sequencing Capabilities
Our genomics core facility offers state-of-the-art Illumina NovaSeq and Oxford Nanopore sequencing platforms, providing high-throughput, long-read, and real-time sequencing for a wide range of genomic applications, including whole-genome sequencing, transcriptomics, and epigenomics. We are equipped to support research projects ranging from pathogen surveillance to human disease genomics.
Integrated Omics Data Analysis Pipeline
We provide a comprehensive bioinformatics pipeline for the analysis of genomics data, leveraging powerful computational resources and established bioinformatic workflows. Our services include quality control, variant calling, gene expression analysis, genome assembly, and functional annotation. We aim to empower researchers with interpretable and actionable insights from their omics data.
Expert Consultation and Training for Researchers
Beyond providing access to cutting-edge technology, our genomics core facility offers dedicated expert consultation services. We assist researchers in experimental design, protocol optimization, and troubleshooting. Furthermore, we conduct regular training workshops to build local capacity in genomics techniques and bioinformatics, fostering a thriving research community in Senegal.
What Is Genomics Core Facilities In Senegal?
Genomics Core Facilities in Senegal represent specialized research infrastructure and service centers dedicated to providing access to advanced genomic technologies, instrumentation, and expertise. These facilities are crucial for enabling high-throughput DNA and RNA sequencing, genotyping, epigenetic analysis, and other related molecular biology applications. They offer a centralized, shared resource to researchers, academic institutions, and potentially private sector entities within Senegal, facilitating cutting-edge genomic research that would otherwise be prohibitively expensive or technically challenging to establish independently. The core function involves the provision of comprehensive services ranging from sample preparation and library construction to data generation and initial bioinformatics analysis, often supported by expert consultation to guide experimental design and interpretation.
| Who Needs Genomics Core Facilities? | Typical Use Cases | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Academic Researchers (Universities & Research Institutes): Investigating fundamental biological processes, disease mechanisms, evolutionary biology, and biodiversity. | Human Health and Medical Research: Identifying genetic predispositions to diseases (e.g., infectious diseases like malaria, neglected tropical diseases, non-communicable diseases), pharmacogenomics, personalized medicine initiatives, and pathogen surveillance (epidemiology and outbreak investigation). | Agricultural Sector (Research & Development): Crop improvement through marker-assisted selection, livestock breeding, identifying genes for disease resistance or yield enhancement, and studying microbial communities in soil and plants. | Environmental Science and Conservation: Biodiversity assessment, population genetics for conservation efforts, studying microbial ecology of ecosystems, and environmental monitoring. | Biotechnology and Pharmaceutical Companies (if applicable): Drug discovery and development, biomarker identification, and preclinical research. | Public Health Agencies: Disease surveillance, outbreak investigation, and national health strategy development. | Students and Postdoctoral Fellows: Gaining hands-on experience with advanced genomic techniques and contributing to research projects. | |||
| Genome-wide Association Studies (GWAS): Identifying genetic variants associated with complex traits or diseases. | Whole Genome/Exome Sequencing: De novo genome assembly, variant discovery, and characterization of genetic diversity. | Transcriptomics (RNA-seq): Gene expression profiling, differential gene expression analysis, and identification of novel transcripts. | Metagenomics: Characterizing microbial communities in various environments (e.g., gut microbiome, soil, water). | Single-cell Genomics: Resolving cellular heterogeneity and studying gene expression at the individual cell level. | Genotyping Arrays: High-throughput SNP genotyping for population studies and marker-assisted selection. | ChIP-sequencing (ChIP-seq) / ATAC-sequencing (ATAC-seq): Investigating protein-DNA interactions and chromatin accessibility. | DNA Methylation Analysis: Studying epigenetic regulation of gene expression. | Pathogen Genomics: Whole-genome sequencing of infectious agents for strain identification, tracking transmission, and understanding antimicrobial resistance. | Biodiversity and Phylogenomics: Reconstructing evolutionary relationships and studying genetic diversity within species. |
Key Components of Genomics Core Facilities in Senegal:
- High-Throughput Sequencing Platforms: Access to state-of-the-art sequencers (e.g., Illumina NovaSeq, MiSeq, Oxford Nanopore) for various applications.
- Sample Preparation and Library Construction: Expertise and reagents for preparing DNA/RNA samples for sequencing, including library quantification and quality control.
- Genotyping and SNP Analysis: Technologies for identifying genetic variations across individuals or populations.
- Epigenomic Analysis: Services for investigating DNA methylation, histone modifications, and chromatin accessibility (e.g., ChIP-seq, ATAC-seq).
- Bioinformatics Support: Computational resources and expertise for raw data processing, quality assessment, variant calling, alignment, and initial downstream analysis.
- Training and Consultation: Educational workshops and expert guidance on experimental design, protocol optimization, and data interpretation.
- Quality Assurance and Control (QA/QC): Rigorous procedures to ensure the reliability and reproducibility of genomic data.
- Data Management and Storage: Secure infrastructure for storing and managing large genomic datasets.
Who Needs Genomics Core Facilities In Senegal?
Genomics core facilities are essential for advancing biomedical research, agricultural innovation, and public health initiatives in Senegal. Their services cater to a diverse range of users, from academic researchers and government agencies to private sector entities and clinical diagnostic laboratories. By providing access to cutting-edge sequencing technologies, bioinformatics support, and specialized expertise, these facilities empower scientists and practitioners to tackle critical challenges in infectious diseases, crop improvement, and genetic disease diagnosis. The establishment of robust genomics core facilities is a strategic investment in Senegal's scientific and economic development, fostering local capacity and reducing reliance on external services.
| Customer Type | Key Departments/Units | Primary Genomics Needs |
|---|---|---|
| Academic & Research Institutions | Department of Biology, Microbiology, Genetics, Biotechnology, Biochemistry, Environmental Science | DNA/RNA Sequencing (whole genome, exome, transcriptome), Genotyping, Bioinformatics analysis, CRISPR-Cas9 services |
| Government Health Agencies (Ministry of Health, Institut Pasteur, etc.) | Epidemiology Units, Virology Labs, Bacteriology Labs, Parasitology Labs, Public Health Surveillance Units | Pathogen sequencing for outbreak investigation and surveillance (e.g., COVID-19, Malaria, TB), Antimicrobial resistance profiling, Diagnostic assay development |
| Agricultural Research & Development | Plant Breeding Departments, Animal Science Departments, Agronomy Research Centers | Genomic selection for crop and livestock improvement, Disease resistance gene discovery, Marker-assisted selection (MAS), Genetic diversity studies |
| Clinical Diagnostic Laboratories | Clinical Genetics Departments, Pathology Labs, Infectious Disease Units, Oncology Departments | Somatic mutation profiling for cancer diagnosis and treatment, Germline variant detection for inherited disorders, Pharmacogenomics, Infectious disease diagnostics |
| Biotechnology & Pharmaceutical Companies | R&D Departments, Drug Discovery Units | Target identification, Biomarker discovery, Pre-clinical research, Development of novel diagnostics and therapeutics |
| Environmental Research & Conservation | Ecology Departments, Biodiversity Institutes, Conservation Agencies | Metagenomics (environmental DNA), Population genomics for conservation management, Species identification, Ecotoxicology studies |
Target Customers and Departments for Genomics Core Facilities in Senegal
- {"name":"Academic and Research Institutions","description":"Universities, research centers, and institutes conducting fundamental and applied research."}
- {"name":"Government Health Agencies","description":"Ministries of Health and public health laboratories focused on disease surveillance, outbreak response, and public health policy."}
- {"name":"Agricultural Research and Development Organizations","description":"Institutes and companies involved in crop breeding, livestock improvement, and food security."}
- {"name":"Clinical Diagnostic Laboratories","description":"Hospitals and private labs offering genetic testing for inherited diseases, cancer, and infectious agents."}
- {"name":"Biotechnology and Pharmaceutical Companies","description":"Emerging companies and established players in the biopharmaceutical sector."}
- {"name":"Environmental Research and Conservation Agencies","description":"Organizations studying biodiversity, ecosystem health, and conservation efforts."}
Genomics Core Facilities Process In Senegal
Genomics core facilities in Senegal are crucial for advancing biological research, diagnostics, and biotechnological applications. The workflow, from an initial inquiry to the final execution of a genomic service, generally follows a structured process to ensure efficient and accurate delivery of results. This process often involves multiple stages, from understanding the user's needs to data analysis and reporting.
| Stage | Description | Key Activities | Potential Challenges |
|---|---|---|---|
| Initial Inquiry and Consultation | The first point of contact where a researcher or clinician expresses their need for genomic services. | Contacting the core facility, discussing project goals, experimental design, required services (e.g., sequencing type, genotyping), sample requirements, and potential timelines. Providing preliminary quotes. | Lack of clear experimental design, unrealistic expectations, insufficient understanding of genomic techniques, communication barriers. |
| Sample Submission and Quality Control (QC) | The formal submission of biological samples for analysis. | Formalizing the service request, completing submission forms, shipping/delivering samples according to facility guidelines. Performing initial sample QC (e.g., DNA/RNA quantity, purity, integrity) to ensure suitability for downstream applications. | Sample degradation, contamination, insufficient quantity/quality, improper storage and transport, delayed submissions. |
| Library Preparation | Preparing the genomic DNA or RNA for sequencing or genotyping. | Extraction of nucleic acids (if not provided), fragmentation, adapter ligation, amplification (PCR), and quality control of the prepared libraries (e.g., size distribution, concentration). | Low yield of high-quality nucleic acids, inhibition of enzymatic reactions, biased amplification, insufficient library complexity. |
| Sequencing/Genotyping | The actual generation of genomic data. | Loading libraries onto sequencing instruments (e.g., Illumina, Nanopore) or performing genotyping arrays/assays. | Instrument downtime, reagent availability, batch effects, sequencing errors, inconsistent genotype calls. |
| Data Processing and QC | Initial handling and quality assessment of the raw generated data. | Demultiplexing (if multiple samples on one run), base calling, quality scoring of reads, alignment to a reference genome (if applicable), variant calling (for genotyping). | Low read quality, high error rates, poor alignment scores, bioinformatics pipeline issues, large data volumes. |
| Data Analysis | Interpreting the processed genomic data in the context of the research question. | Differential gene expression analysis, variant annotation, phylogenetic analysis, population genetics studies, SNP calling, genotype imputation, pathway analysis. This often requires collaboration with bioinformaticians. | Lack of appropriate analytical tools, complex biological questions requiring specialized expertise, difficulty in interpreting results, computational resource limitations. |
| Reporting and Delivery | Communicating the findings to the researcher. | Generating comprehensive reports with raw and processed data, analytical findings, visualizations, and interpretations. Delivering data in specified formats (e.g., FASTQ, BAM, VCF, CSV). | Delayed reporting, unclear or incomplete reports, data format incompatibility, misinterpretation of results. |
| Billing and Follow-up | Concluding the service and addressing any post-service needs. | Issuing invoices based on agreed-upon pricing, processing payments, providing support for follow-up questions or further analysis. Collecting feedback for service improvement. | Billing discrepancies, payment delays, lack of adequate post-service support. |
Genomics Core Facilities Process in Senegal
- Initial Inquiry and Consultation
- Sample Submission and Quality Control (QC)
- Library Preparation
- Sequencing/Genotyping
- Data Processing and QC
- Data Analysis
- Reporting and Delivery
- Billing and Follow-up
Genomics Core Facilities Cost In Senegal
Genomics core facilities in Senegal, like elsewhere, are influenced by a complex interplay of factors that dictate their pricing. These costs are typically presented in local currency, the West African CFA franc (XOF). The specific cost of services can vary significantly between institutions, with differences often arising from the technology used, the expertise of the personnel, overhead costs, and the specific grant or funding model under which the facility operates.
Key pricing factors include:
- Technology & Platform: The type of sequencing platform (e.g., Illumina NovaSeq, MiSeq, PacBio, Oxford Nanopore) or genotyping array used directly impacts consumables and maintenance costs. Newer, higher-throughput, or specialized technologies generally command higher prices.
- Sample Type & Preparation: The complexity of sample preparation (e.g., DNA extraction from difficult matrices, RNA isolation, library preparation protocols) adds to the labor and consumable costs. The number of samples to be processed also plays a role, with bulk discounts sometimes available.
- Data Analysis & Bioinformatics: The extent of bioinformatics analysis required is a major cost driver. Basic raw data delivery will be cheaper than comprehensive variant calling, annotation, statistical analysis, or de novo assembly.
- Personnel Expertise & Labor: The cost of highly trained scientists and technicians to operate the equipment, perform experiments, and conduct data analysis is a significant component of the overall pricing.
- Consumables: Reagents, kits, enzymes, and sequencing reagents are direct operational costs that are factored into service pricing.
- Equipment Maintenance & Depreciation: The ongoing costs of maintaining sophisticated genomic equipment, including service contracts and eventual depreciation, are built into the pricing structure.
- Institutional Overhead: University or research institute overheads, including administrative support, utilities, and facility management, are often allocated to core facility services.
- Funding Models & Subsidies: Facilities funded partially by grants or institutional subsidies may offer services at a lower rate to researchers within that institution, or to collaborators on specific projects.
- Project Scope & Customization: Highly customized projects or those requiring extensive troubleshooting or method development will generally be more expensive than standardized service offerings.
Pricing Ranges (Estimated in XOF):
It's important to note that these are estimates and can fluctuate. Actual quotes should always be obtained directly from the facility. Prices are often quoted per sample or per run, depending on the service.
- Basic DNA Sequencing (e.g., Sanger, single runs of short-read sequencing): Can range from 15,000 XOF to 50,000 XOF per sample, depending on read length and volume.
- Whole Genome/Exome Sequencing (Short-Read): Per-sample costs can range widely based on coverage depth and project complexity, from approximately 150,000 XOF to 500,000 XOF or more.
- RNA Sequencing (Short-Read): Similar to WGS/WES, costs can vary significantly, often falling between 200,000 XOF and 700,000 XOF per sample for standard libraries and moderate coverage.
- Genotyping (SNP arrays): Pricing is often per sample and can range from 30,000 XOF to 150,000 XOF depending on array density and the service package.
- Bioinformatics Analysis (Basic QC to complex analysis): Can range from an hourly rate of 10,000 XOF to 30,000 XOF or a project-based fee from 50,000 XOF to several hundred thousand XOF, depending on complexity.
Note: Some facilities may offer tiered pricing for internal versus external users, or for academic versus commercial entities. Furthermore, the establishment of new genomics facilities or the adoption of cutting-edge technologies can lead to higher initial costs.
| Service Type (Estimated) | Estimated Price Range (XOF) |
|---|---|
| Basic DNA Sequencing (Sanger/Short-Read, per sample) | 15,000 - 50,000 |
| Whole Genome/Exome Sequencing (Short-Read, per sample) | 150,000 - 500,000+ |
| RNA Sequencing (Short-Read, per sample) | 200,000 - 700,000 |
| Genotyping (SNP arrays, per sample) | 30,000 - 150,000 |
| Bioinformatics Analysis (Hourly Rate) | 10,000 - 30,000 |
| Bioinformatics Analysis (Project-based) | 50,000 - 300,000+ |
Key Factors Influencing Genomics Core Facility Costs in Senegal
- Technology & Platform Used
- Sample Type & Preparation Complexity
- Scope of Data Analysis & Bioinformatics
- Personnel Expertise & Labor Costs
- Cost of Consumables (Reagents, Kits)
- Equipment Maintenance & Depreciation
- Institutional Overhead & Administrative Costs
- Funding Models & Subsidies
- Project Scope & Level of Customization
Affordable Genomics Core Facilities Options
Establishing or accessing genomic sequencing and analysis capabilities can be a significant undertaking for research institutions and companies. While cutting-edge technology offers immense scientific potential, the associated costs can be prohibitive. This document explores affordable options for genomics core facilities, focusing on value bundles and cost-saving strategies. The goal is to enable broader access to high-quality genomic data without compromising research integrity or budget. By understanding the various models and implementing smart financial planning, organizations can significantly reduce their investment while maximizing their genomic research output.
| Strategy Category | Description | Potential Cost Savings | Considerations |
|---|---|---|---|
| Shared Resource Models | Centralized facility accessible to multiple entities. | Reduced individual capital expenditure, shared operational costs, bulk purchasing power. | Requires strong governance, user agreements, and clear service level definitions. |
| Partnerships & Collaborations | Joint ventures with other institutions, companies, or research groups. | Shared equipment acquisition, reduced operational overhead, access to diverse expertise. | Requires trust, clear intellectual property agreements, and robust communication channels. |
| Flexible Service Models | Fee-for-service, pay-per-project, or subscription-based access. | Eliminates large upfront investment, aligns costs with usage, predictable budgeting. | Can become expensive for high-volume, continuous use; potential for price fluctuations. |
| Technology & Infrastructure | Cloud computing, refurbished equipment, modular design. | Lower upfront hardware costs, reduced IT infrastructure burden, pay-as-you-go for analysis, flexibility to scale. | Data security concerns with cloud, potential for long-term cloud costs, training for new technologies. |
| Operational Efficiency | Standardized workflows, bulk purchasing, in-house training. | Reduced reagent waste, lower consumable costs, optimized labor utilization, faster turnaround times. | Requires initial investment in process development and training, potential for resistance to change. |
| Externalization & Outsourcing | Partnering with commercial CROs. | Access to specialized expertise and equipment without capital investment, potential for competitive pricing for specific services. | Loss of direct control over the process, requires careful vendor selection and contract negotiation. |
Value Bundles and Cost-Saving Strategies for Affordable Genomics Core Facilities
- Shared Core Facilities: Centralized resources accessible by multiple users or departments, distributing costs and leveraging economies of scale.
- Consortia and Collaborations: Pooling resources with other institutions or organizations to share equipment, expertise, and bulk purchasing power.
- Fee-for-Service Models: Paying per project or per sample, offering flexibility and avoiding large upfront capital expenditure.
- Cloud-Based Bioinformatics Solutions: Utilizing scalable and cost-effective cloud platforms for data storage, processing, and analysis, reducing the need for in-house IT infrastructure.
- Outsourcing to Commercial CROs (Contract Research Organizations): Partnering with specialized companies that offer genomics services, often at competitive prices, especially for niche or high-throughput needs.
- Strategic Equipment Purchasing and Leasing: Carefully selecting equipment based on current and future needs, considering refurbished options, and exploring leasing agreements to defer capital costs.
- Grant Funding and Pilot Project Support: Actively seeking grants specifically for core facility development or leveraging pilot project funding to offset initial operational expenses.
- Standardization and Workflow Optimization: Developing standardized protocols and efficient workflows to maximize throughput, minimize reagent waste, and reduce labor costs.
- Training and Skill Development: Investing in in-house training for researchers to perform basic sample preparation and data QC, reducing reliance on external services for routine tasks.
- Negotiating Service Level Agreements (SLAs): Establishing clear agreements with equipment vendors and service providers to ensure predictable maintenance costs and timely support.
- Bulk Reagent Purchasing: Collaborating with other facilities or departments to negotiate discounts on commonly used reagents and consumables.
- Modular and Scalable Infrastructure: Designing or selecting core facilities that can be scaled up or down based on demand, avoiding over-investment in underutilized capacity.
Verified Providers In Senegal
In Senegal's burgeoning healthcare landscape, discerning the most reliable and competent medical professionals is paramount for individuals seeking quality care. Franance Health stands out as a leading platform that rigorously vets and verifies healthcare providers, ensuring that patients have access to trustworthy and skilled practitioners. This verification process is not merely a formality; it's a commitment to patient safety, ethical practice, and the highest standards of medical expertise. By highlighting the credentials and rigorous selection process of Franance Health verified providers, we aim to demonstrate why they unequivocally represent the best choice for healthcare in Senegal.
| Provider Type | Franance Health Advantage | Why it Matters for Patients |
|---|---|---|
| General Practitioners | Verified for comprehensive diagnostic skills and patient-centered care. | Ensures accurate initial assessments and appropriate referrals, leading to timely and effective treatment. |
| Specialist Physicians (e.g., Cardiologists, Dermatologists) | Credentials meticulously checked for specialized training and proven expertise in their field. | Guarantees access to highly qualified doctors who can address complex medical conditions with precision. |
| Surgeons | Rigorous verification of surgical qualifications, experience, and successful procedure history. | Provides confidence in the skill and safety of surgical interventions, minimizing risks and optimizing outcomes. |
| Dentists | Verified for expertise in various dental disciplines and adherence to stringent hygiene protocols. | Ensures high-quality oral healthcare, from routine check-ups to specialized treatments, with a focus on patient comfort and safety. |
| Diagnostic Laboratories & Imaging Centers | Accreditation and quality control measures confirmed for accuracy and reliability. | Results from tests and scans are dependable, forming a solid basis for diagnosis and treatment planning. |
Key Franance Health Verification Criteria:
- Medical Licensing and Registration: Ensuring all providers hold valid and current licenses from recognized Senegalese medical authorities.
- Educational Attainment and Specialization: Verifying degrees, diplomas, and specialized training from accredited institutions.
- Professional Experience and Track Record: Assessing the depth and breadth of a provider's practical experience and their history of patient care.
- Continuing Professional Development: Confirming participation in ongoing training and educational programs to stay abreast of medical advancements.
- Ethical Conduct and Reputation: Reviewing professional conduct and any disciplinary actions, as well as seeking feedback where applicable.
- Facility Accreditation (where applicable): For clinics and hospitals, ensuring adherence to safety and quality standards.
Scope Of Work For Genomics Core Facilities
This document outlines the Scope of Work (SOW) for the Genomics Core Facilities, detailing technical deliverables and standard specifications. The Genomics Core Facilities provide essential services and infrastructure to support a wide range of genomics research. This SOW ensures clarity on the services offered, quality standards, and expected outcomes for researchers utilizing these facilities.
| Technical Deliverable | Standard Specification | Quality Metric | Turnaround Time (TAT) |
|---|---|---|---|
| Raw Sequencing Data (FASTQ files) | Minimum Q30 base percentage > 80% for paired-end reads, > 70% for single-end reads (platform dependent). Read lengths as per instrument specifications. | Per-base quality scores distribution, adapter content, sequence duplication levels. | Typically 5-10 business days post-sample receipt (depending on project complexity and queue). |
| Aligned Sequence Data (BAM/SAM files) | Alignment to a specified reference genome with a minimum alignment rate > 80% (platform and library type dependent). | Alignment rate, mapping quality distribution, coverage uniformity. | Typically 3-7 business days post-FASTQ generation. |
| Variant Calls (VCF files) | Variant calls meet standard criteria for SNP/Indel detection (e.g., depth of coverage > 20x, genotype quality > 20). | Number of identified variants, concordance with known variants (if applicable), false positive rate estimation. | Typically 5-10 business days post-alignment (depending on project complexity). |
| Gene Expression Data (TPM/FPKM/Counts) | Normalized gene expression values based on robust methodologies (e.g., TPM, FPKM, DESeq2 counts). | Correlation between technical replicates (if performed), gene detection sensitivity. | Typically 7-14 business days post-alignment (for RNA-seq). |
| Genotyping Data (Genotype Calls) | Genotype accuracy > 98% as determined by independent validation or known controls. | Call rate (percentage of samples with a genotype for a given marker), concordance with known genotypes. | Typically 5-10 business days post-sample processing. |
| Bioinformatics Analysis Report | Comprehensive report detailing methods, parameters, and interpretations. Includes figures, tables, and raw data summaries as applicable. | Clarity of presentation, reproducibility of analysis, adherence to agreed-upon scope. | Varies based on complexity of analysis, typically integrated with other deliverables. |
| Sample QC Report (e.g., Nanodrop, Qubit, Bioanalyzer) | Documentation of DNA/RNA concentration, purity (A260/A280, A260/A230 ratios), and fragment size distribution. | Concentration within acceptable ranges (e.g., >50 ng/µL for DNA), A260/A280 ratio between 1.8-2.1 for DNA, A260/A230 ratio > 2.0. | Provided with sample submission or prior to library preparation. |
Key Services Offered by Genomics Core Facilities
- Next-Generation Sequencing (NGS) services (various library preparation and sequencing platforms)
- Genotyping services (e.g., SNP arrays, microsatellite analysis)
- Single-cell genomics (e.g., single-cell RNA-seq, ATAC-seq)
- Long-read sequencing (e.g., PacBio, Oxford Nanopore)
- Bioinformatics support and data analysis
- Consultation and experimental design
- Sample quality control and assessment
- Data storage and management
- Training and workshops on genomics techniques and tools
Service Level Agreement For Genomics Core Facilities
This Service Level Agreement (SLA) outlines the guaranteed response times and uptime for the Genomics Core Facilities. It defines the expected service levels and the recourse available in case of failures to meet these standards. This agreement is intended to ensure the reliable and efficient operation of genomic services for all users.
| Service | Uptime Guarantee | Response Time (Standard Issue) | Response Time (Critical Issue) |
|---|---|---|---|
| Sequencing Platforms (e.g., Illumina NovaSeq, PacBio Sequel) | 95% | 4 business hours | 1 business hour |
| NGS Library Preparation | 98% | 8 business hours | 4 business hours |
| Bioinformatics Analysis Services (Standard Pipelines) | N/A (Service-based) | 1 business day (for initial consultation/setup) | 4 business hours (for critical pipeline issues) |
| General Technical Support (e.g., scheduling, billing, basic queries) | N/A (Service-based) | 2 business days | 8 business hours |
| Data Storage and Retrieval | 99.5% | 4 business hours | 2 business hours |
Key Performance Indicators (KPIs)
- Sample Processing Time: The maximum time from sample receipt to data availability (raw data).
- Instrument Uptime: The percentage of time critical instrumentation is operational and available for use.
- Technical Support Response Time: The maximum time for initial acknowledgment and assignment of technical issues.
- Data Analysis Turnaround Time: The maximum time from completion of sequencing to delivery of analyzed data (as per agreed scope).
Frequently Asked Questions
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