Verified Service Provider in Kenya
Genomics Core Facilities in Kenya
Engineering Excellence & Technical Support
Genomics Core Facilities solutions for Research & Discovery (R&D). High-standard technical execution following OEM protocols and local regulatory frameworks.
High-Throughput Sequencing for Disease Surveillance
Leveraging state-of-the-art Illumina NovaSeq platforms, our genomics core facilities enable rapid, large-scale sequencing of pathogens and vectors. This empowers real-time monitoring of disease outbreaks, identification of emerging resistance patterns, and informs effective public health interventions across Kenya.
Genomic Diversity Studies for Crop Improvement
Our advanced bioinformatics pipelines and next-generation sequencing capabilities facilitate comprehensive genomic analysis of indigenous crops. This aids in identifying valuable genetic traits for drought tolerance, pest resistance, and nutritional enhancement, contributing to food security and agricultural innovation in Kenya.
Personalized Medicine through Pharmacogenomics
Equipped with cutting-edge sequencing and genotyping technologies, our facilities support the development of pharmacogenomic studies. This will enable the identification of individual genetic variations influencing drug response, paving the way for tailored and more effective patient treatment strategies in Kenyan healthcare.
What Is Genomics Core Facilities In Kenya?
Genomics Core Facilities in Kenya represent specialized, shared resource centers that provide access to advanced genomic technologies, instrumentation, and expertise. These facilities are designed to support a broad spectrum of research and diagnostic endeavors by offering services that would otherwise be prohibitively expensive or require specialized knowledge for individual laboratories to acquire and maintain. The core function involves the comprehensive application of genomics, encompassing DNA and RNA sequencing, genotyping, gene expression analysis, epigenomic profiling, and related bioinformatics support. This infrastructure is crucial for advancing biological research, facilitating disease diagnostics, driving agricultural innovation, and supporting public health initiatives within Kenya.
| Who Needs Genomics Core Facilities? | Typical Use Cases | ||||
|---|---|---|---|---|---|
| Academic Researchers (Universities, Research Institutes) | Understanding disease mechanisms (infectious diseases, non-communicable diseases) | Characterizing genetic diversity in populations | Investigating evolutionary biology | Discovering novel genes and pathways | Functional genomics studies |
| Clinical Laboratories and Healthcare Providers | Diagnostic testing for genetic disorders | Personalized medicine and pharmacogenomics | Pathogen surveillance and outbreak investigations | Cancer genomics for diagnosis and treatment planning | |
| Agricultural Scientists and Agribusiness | Crop improvement through marker-assisted selection | Livestock breeding and disease resistance | Pest and disease diagnostics in agriculture | Understanding plant-microbe interactions | |
| Public Health Agencies | Epidemiological studies and disease surveillance | Monitoring antimicrobial resistance | Assessing the genetic basis of population health | ||
| Biotechnology Companies | Drug discovery and development | Development of diagnostic tools | Genetically modified organism (GMO) development and characterization | ||
| Environmental Scientists | Studying biodiversity and ecosystem health | Environmental monitoring and impact assessment | Bioremediation research |
Key Services Provided by Genomics Core Facilities in Kenya
- High-throughput DNA sequencing (e.g., whole-genome, exome, targeted sequencing)
- RNA sequencing for transcriptome analysis (gene expression, isoform detection)
- Genotyping and SNP analysis (e.g., arrays, targeted panels)
- Epigenomic analysis (e.g., ChIP-seq, ATAC-seq, bisulfite sequencing)
- Metagenomics and microbiome analysis
- Single-cell genomics
- Library preparation services
- Bioinformatics analysis and data interpretation
- Consultation and training on experimental design and data analysis
- Quality control of samples and sequencing data
Who Needs Genomics Core Facilities In Kenya?
Genomics core facilities in Kenya are vital for advancing research, diagnostics, and biotechnological innovation across a diverse range of sectors. These specialized centers provide access to cutting-edge genomic technologies, expertise, and services that are often beyond the capacity of individual research groups or institutions. Their presence accelerates scientific discovery, supports the development of novel solutions to pressing challenges, and fosters a competitive research environment.
| Target Customer/Department | Key Genomics Needs | Examples of Applications |
|---|---|---|
| Universities (e.g., University of Nairobi, Kenyatta University) | High-throughput sequencing (WGS, WES, RNA-Seq), genotyping, bioinformatics support, training. | Understanding disease mechanisms, identifying genetic predispositions, microbial genomics, evolutionary studies. |
| Research Institutes (e.g., Kenya Medical Research Institute - KEMRI) | Pathogen sequencing, host-pathogen interactions, drug resistance profiling, outbreak investigation. | Developing diagnostics and vaccines for diseases like malaria, HIV, and emerging infectious diseases. |
| Hospitals (e.g., Kenyatta National Hospital) | Clinical sequencing (exome, genome), targeted gene panels, variant interpretation. | Diagnosing rare genetic disorders, cancer profiling for targeted therapy, pharmacogenomics. |
| Agricultural Research Centers (e.g., KALRO) | Genotyping for marker-assisted selection, whole-genome sequencing of crops and livestock, transcriptomics. | Improving yield, drought tolerance, disease resistance in staple crops and livestock. |
| Environmental Agencies (e.g., National Environment Management Authority - NEMA) | Metabarcoding, eDNA analysis, population genomics of endangered species. | Monitoring biodiversity, assessing pollution impact, tracing origins of invasive species. |
| Biotechnology Startups | Custom sequencing, library preparation, data analysis for novel product development. | Developing diagnostic kits, industrial enzymes, bio-pesticides. |
| Public Health Laboratories | Pathogen surveillance, antimicrobial resistance monitoring, genomic epidemiology. | Tracking disease spread, informing public health interventions, outbreak response. |
Who Needs Genomics Core Facilities in Kenya?
- {"title":"Research Institutions & Universities","description":"The primary users of genomics core facilities. They require advanced sequencing, genotyping, and bioinformatics capabilities for fundamental research across various disciplines."}
- {"title":"Hospitals & Diagnostic Laboratories","description":"Crucial for implementing genomic-based diagnostics for infectious diseases, inherited disorders, cancer, and personalized medicine."}
- {"title":"Agricultural Research Centers & Seed Companies","description":"Essential for crop improvement, livestock breeding, pest and disease resistance studies, and developing climate-resilient varieties."}
- {"title":"Environmental Agencies & Conservation Organizations","description":"Needed for biodiversity monitoring, understanding ecosystem dynamics, tracking wildlife populations, and managing conservation efforts."}
- {"title":"Pharmaceutical & Biotechnology Companies","description":"Utilize genomics for drug discovery, development of new therapeutics, vaccine research, and quality control."}
- {"title":"Government Ministries & Agencies (Health, Agriculture, Environment)","description":"Support public health initiatives, food security strategies, and environmental policy development through genomic data."}
- {"title":"Non-Governmental Organizations (NGOs)","description":"Engage in health, agricultural, or environmental projects that can benefit from genomic insights for impact assessment and intervention planning."}
Genomics Core Facilities Process In Kenya
Genomics core facilities in Kenya play a crucial role in advancing biological research by providing access to cutting-edge technologies and expertise. The workflow from an initial inquiry to the successful execution of a genomics project typically involves several distinct stages, ensuring efficient resource utilization and high-quality data generation. This process is designed to be comprehensive, accommodating diverse research needs and technical requirements.
| Stage | Key Activities | Responsible Parties |
|---|---|---|
| Inquiry & Consultation | Project discussion, feasibility assessment, initial experimental design advice | Researcher, Core Facility Staff |
| Project Planning & Proposal | Detailed experimental design, sample submission guidelines, budget/timeline finalization | Researcher, Core Facility Staff |
| Sample Submission & Quality Control | Sample preparation and submission, sample receipt and integrity checks | Researcher (preparation), Core Facility Staff (submission, QC) |
| Library Preparation | Converting biological samples into sequencing-ready libraries | Core Facility Staff |
| Sequencing | Generating raw sequencing reads from prepared libraries | Core Facility Staff |
| Data Analysis & Bioinformatics | Processing, quality checking, and analyzing raw sequencing data | Core Facility Bioinformatics Team, Researcher (input on analysis) |
| Data Reporting & Delivery | Compiling results into a report and delivering processed data files | Core Facility Bioinformatics Team, Core Facility Manager |
| Project Closure & Feedback | Formal project completion and collection of user feedback | Core Facility Manager, Researcher |
Genomics Core Facilities Workflow in Kenya
- {"steps":["Initial Contact (Email, Phone, In-Person)","Project Discussion & Goal Clarification","Feasibility Assessment","Preliminary Experimental Design Advice"],"title":"Inquiry & Consultation","description":"The process begins when a researcher (or research group) contacts the core facility with an interest in utilizing their services. This initial stage involves understanding the project's goals, scope, and specific requirements. A consultation with core facility staff is paramount to discuss feasibility, experimental design, potential methodologies, and expected outcomes. This is where the researcher clarifies their needs, and the core facility provides expert advice on the most suitable genomic applications and services."}
- {"steps":["Detailed Experimental Design Refinement","Sample Submission Guidelines & Requirements","Budget Quotation & Cost Estimation","Timeline Agreement","Formal Project Proposal/Request Submission"],"title":"Project Planning & Proposal","description":"Following the initial consultation, if the project is deemed feasible, a more detailed project plan is developed. This often involves the researcher submitting a formal proposal or a detailed project request form. The core facility may also contribute to refining the experimental design, suggesting appropriate controls, and outlining the specific assays and analyses required. Budgeting and timeline estimations are also finalized at this stage."}
- {"steps":["Sample Preparation by Researcher","Sample Shipping/Delivery to Core Facility","Sample Receipt & Logging","Initial Sample Quality Control (e.g., DNA/RNA yield, purity)","Sample Integrity Assessment"],"title":"Sample Submission & Quality Control","description":"Once the project plan is approved, the researcher prepares and submits their biological samples according to the core facility's strict guidelines. Upon receipt, the core facility conducts rigorous quality control (QC) checks on the submitted samples. This typically includes assessing sample quantity, purity, and integrity (e.g., DNA/RNA concentration, A260/A280 ratios, gel electrophoresis, bioanalyzer profiles). Samples failing QC may be rejected or require re-submission."}
- {"steps":["DNA/RNA Fragmentation","Adapter Ligation","Amplification (if necessary)","Library Quantification & QC"],"title":"Library Preparation","description":"This is a critical wet-lab stage where the biological sample (DNA or RNA) is converted into a format suitable for sequencing. This involves various enzymatic reactions and purification steps to create sequencing libraries. The specific library preparation protocol depends on the type of sequencing technology and the research question (e.g., whole-genome sequencing, RNA-Seq, targeted sequencing)."}
- {"steps":["Sequencing Instrument Setup & Calibration","Library Loading onto Sequencer","Sequencing Run Execution","Raw Data Generation"],"title":"Sequencing","description":"The prepared libraries are then loaded onto sequencing instruments. These instruments use various technologies (e.g., Illumina, Oxford Nanopore) to generate millions or billions of short DNA sequences (reads). The choice of sequencing platform and run parameters is determined by project requirements, such as read length, throughput, and cost."}
- {"steps":["Raw Data Quality Assessment (e.g., FastQC)","Read Trimming & Filtering","Alignment to Reference Genome/Transcriptome","Variant Calling/Genotyping","Gene Expression Quantification","Statistical Analysis","Data Visualization"],"title":"Data Analysis & Bioinformatics","description":"The raw sequencing data is processed and analyzed by the core facility's bioinformatics team. This stage involves a series of computational steps, including quality assessment of raw reads, alignment to a reference genome (if applicable), variant calling, gene expression quantification, and other specialized analyses depending on the project. Researchers are typically involved in defining the specific analysis pipelines and interpreting the results."}
- {"steps":["Report Generation","Data File Preparation & Formatting","Secure Data Delivery to Researcher","Post-Analysis Consultation & Interpretation Support"],"title":"Data Reporting & Delivery","description":"Upon completion of data analysis, the core facility provides the researcher with processed data files and a comprehensive report. This report details the methods used, the results obtained, and any relevant interpretations. The data is typically delivered in standard formats (e.g., FASTQ, BAM, VCF, count matrices) along with necessary metadata. Further consultation may be provided to help researchers understand and utilize the generated data."}
- {"steps":["Confirmation of Data Receipt","Researcher Feedback Collection","Continuous Improvement & Service Enhancement"],"title":"Project Closure & Feedback","description":"The project is formally closed once the data has been delivered and the researcher has had an opportunity to review it. Core facilities often solicit feedback from researchers to continuously improve their services and workflows. This feedback is invaluable for identifying areas of strength and opportunities for enhancement."}
Genomics Core Facilities Cost In Kenya
Genomics core facilities in Kenya are becoming increasingly vital for research, diagnostics, and agricultural advancements. The cost of accessing these services is influenced by a variety of factors, making it challenging to provide a single definitive price. These factors include the complexity of the genomic application, the specific technology employed, the volume of samples, the required turnaround time, and the overhead costs of the facility itself. Pricing is typically presented in Kenyan Shillings (KES).
| Genomic Service Category | Typical Cost Range (KES) | Notes |
|---|---|---|
| DNA/RNA Extraction | 2,000 - 15,000 per sample | Varies by sample type (e.g., blood, tissue, plant) and method (manual vs. automated). |
| PCR/qPCR Services | 1,500 - 7,000 per reaction | Depends on the complexity of the assay and number of targets. |
| Sanger Sequencing | 3,000 - 8,000 per sample | For smaller projects or specific gene regions. Includes basic analysis. |
| Next-Generation Sequencing (NGS) - Targeted Panels (e.g., Exome Sequencing) | 30,000 - 150,000+ per sample | Cost depends on panel size, sequencing depth, and bioinformatics analysis required. Exomes are more comprehensive than targeted gene panels. |
| Whole Genome Sequencing (WGS) | 80,000 - 500,000+ per sample | Highly dependent on organism (e.g., human, plant, microbial), desired coverage, and downstream analysis. Costs are decreasing with technological advancements. |
| RNA Sequencing (RNA-Seq) - Basic | 40,000 - 180,000+ per sample | For differential gene expression studies. Includes library prep, sequencing, and basic alignment/quantification. Complexity of analysis significantly impacts cost. |
| Library Preparation (NGS) | 10,000 - 50,000 per sample | Cost varies based on the kit and the type of library being prepared (e.g., genomic DNA, cDNA, amplicon). |
| Bioinformatics Analysis (per project/hour) | 20,000 - 100,000+ per project or 5,000 - 15,000 per hour | Highly variable based on the complexity of analysis, data size, and expertise required. Custom pipelines can be more expensive. |
Key Pricing Factors for Genomics Core Facilities in Kenya
- Type of Genomic Service: Different services have vastly different cost structures. For example, basic DNA extraction is less expensive than whole-genome sequencing or complex transcriptomics.
- Sequencing Technology: The platform used for sequencing (e.g., Illumina NovaSeq, Ion Torrent) significantly impacts cost. Newer, higher-throughput platforms may have a higher per-base cost but can be more economical for large projects.
- Sequencing Depth/Coverage: The amount of data generated (depth) is a major cost driver. Higher coverage is necessary for certain applications like variant calling but increases overall expense.
- Sample Type and Preparation: The source of DNA/RNA (blood, tissue, saliva, plant material, etc.) can affect extraction complexity and cost. Library preparation kits and associated labor also contribute.
- Data Analysis and Bioinformatics Support: Raw sequencing data requires significant computational resources and expert bioinformatics analysis. This can be charged as a separate service or bundled into the overall project cost.
- Turnaround Time (TAT): Rush services or expedited processing usually come with a premium price.
- Consumables and Reagents: The cost of specialized enzymes, kits, and other reagents directly impacts the price per sample.
- Facility Overhead: This includes equipment maintenance, staff salaries, facility rent, electricity, and administrative costs, which are factored into service pricing.
- Volume Discounts: Larger projects or repeat customers may be eligible for discounted rates.
- Project Scope and Customization: Highly customized research projects requiring unique protocols or specialized analysis will generally be more expensive than standard services.
Affordable Genomics Core Facilities Options
Affordable genomics core facilities are crucial for researchers and institutions seeking to leverage cutting-edge DNA sequencing and analysis without prohibitive costs. These facilities offer access to sophisticated instrumentation, expert bioinformatics support, and standardized protocols. The key to affordability lies in exploring various operational models, embracing value bundles, and implementing strategic cost-saving measures. By understanding these options, institutions can significantly reduce their per-sample sequencing costs and expand their research capabilities.
| Strategy/Bundle | Description | Potential Cost Savings |
|---|---|---|
| Full-Service Sequencing Packages | Combines library prep, sequencing, and basic analysis at a fixed per-sample cost. | Predictable budgeting, reduced overhead for in-house management. |
| Project-Based Pricing | Customized pricing for a complete research project (samples, depth, analysis). | Tailored to specific research needs, potential for negotiation on large projects. |
| Consortia and Collaborative Deals | Pooling resources and negotiating bulk discounts with other institutions. | Significant discounts on reagents, consumables, and instrument access. |
| Optimize Sample Input and QC | Ensuring high-quality samples and accurate quantification before sequencing. | Reduces wasted sequencing runs and reagent costs. |
| Shared Instrumentation | Institutions jointly fund and manage core facilities with expensive equipment. | Divides capital, maintenance, and operational costs among multiple users. |
| Leverage Cloud Computing | Utilizing cloud platforms for bioinformatics analysis. | Avoids high upfront costs of on-premise HPC, pay-as-you-go model. |
Key Value Bundles and Cost-Saving Strategies
- {"items":["Full-Service Sequencing Packages: Combine library preparation, sequencing, and basic data analysis for a fixed per-sample price. This offers predictability and simplifies budgeting.","Project-Based Pricing: Negotiate a price for a complete research project, including a specific number of samples, sequencing depth, and tailored bioinformatics analysis. This is ideal for well-defined studies.","Consortia and Collaborative Deals: Pooling resources with other institutions or research groups can unlock bulk discounts and shared access to specialized equipment.","Instrument Access + Service Tiers: Some facilities offer tiered service levels. Basic access might include instrument time and a data download, while higher tiers add library prep, QC, and advanced bioinformatics."],"title":"Value Bundles"}
- {"items":["Optimize Sample Input and QC: Precise sample quantification and rigorous quality control (RNA integrity, DNA purity) prevent wasted sequencing runs on unusable samples.","Shared Instrumentation and Resources: Institutions can establish or join shared core facilities to distribute the capital and maintenance costs of expensive equipment.","Negotiate Consumable and Reagent Pricing: Bulk purchasing of reagents and consumables through central procurement or directly with vendors can significantly reduce per-run costs.","Standardize Protocols and Workflows: Consistent and validated protocols minimize errors and reprocessing, leading to higher throughput and lower costs per successful experiment.","Leverage Cloud Computing for Analysis: Offloading computationally intensive bioinformatics analysis to cloud platforms can be more cost-effective than maintaining on-premise high-performance computing clusters.","Explore Different Sequencing Technologies: Evaluate if lower-cost sequencing technologies (e.g., long-read vs. short-read, specific instrument models) can meet the research needs for a given project.","In-House vs. Outsourced Library Preparation: While full-service bundles are convenient, performing library preparation in-house with trained staff can be cost-effective for high-volume needs.","Data Management and Storage Efficiency: Implement robust data management strategies to avoid unnecessary storage costs, including tiered storage solutions and data archival policies."],"title":"Cost-Saving Strategies"}
Verified Providers In Kenya
Finding reliable and high-quality healthcare providers is paramount for individuals and families in Kenya. While many healthcare institutions exist, discerning those that consistently deliver exceptional care can be challenging. This is where the concept of 'Verified Providers' becomes crucial, and Franance Health stands out as a leading example. Their rigorous credentialing process and commitment to excellence ensure that patients receive the best possible medical attention. This document outlines what 'Verified Providers' means in the Kenyan context and highlights why Franance Health's credentials position them as the optimal choice for your healthcare needs.
| Franance Health Credentials | Significance for Patients |
|---|---|
| Accreditation by Reputable Bodies: Franance Health institutions are often accredited by national and international bodies that set benchmarks for healthcare quality and safety. | This signifies that their facilities and practices have been independently assessed and meet rigorous standards, providing patients with confidence in the care they receive. |
| Rigorous Staff Vetting & Licensing: All medical professionals associated with Franance Health undergo thorough background checks, license verification, and continuous professional development. | Patients are assured that they are being treated by qualified, licensed, and up-to-date medical practitioners, minimizing the risk of medical errors. |
| State-of-the-Art Infrastructure & Equipment: Franance Health facilities are equipped with modern medical technology and infrastructure, supporting accurate diagnosis and effective treatment. | Access to advanced medical equipment translates to better diagnostic capabilities and more efficient and effective treatment options for a wider range of conditions. |
| Evidence-Based Treatment Protocols: The organization emphasizes the use of evidence-based medicine and adheres to standardized treatment protocols. | This ensures that patients receive treatments that are proven to be effective and safe, aligning with global best practices in healthcare. |
| Commitment to Patient Experience & Feedback: Franance Health places a strong emphasis on patient satisfaction and actively collects feedback for continuous improvement. | Patients can expect a supportive and responsive healthcare experience, with their concerns and feedback taken seriously to enhance service delivery. |
| Compliance with Regulatory Standards: Franance Health demonstrates strict adherence to all relevant Kenyan healthcare regulations and guidelines. | This guarantees that patients are receiving care that is compliant with legal and ethical frameworks, offering an added layer of protection and assurance. |
What are Verified Providers in Kenya?
- Quality Assurance: Verified providers undergo a stringent assessment process that examines their infrastructure, medical equipment, operational procedures, and adherence to national and international healthcare standards.
- Professional Credentialing: This involves a thorough review of the qualifications, licenses, and experience of their medical professionals, ensuring they meet high standards of expertise and ethical practice.
- Patient Safety Focus: Verification processes often include checks on patient safety protocols, infection control measures, and emergency preparedness, guaranteeing a secure healthcare environment.
- Transparency and Accountability: Verified providers are typically more transparent about their services, pricing, and patient outcomes, fostering trust and accountability.
- Continuous Improvement: The verification process is not a one-time event but often involves ongoing monitoring and re-evaluation to ensure sustained high performance.
Scope Of Work For Genomics Core Facilities
This Scope of Work (SOW) outlines the services and technical deliverables expected from the Genomics Core Facilities. It aims to define the standard specifications for various genomic analyses and the expected outputs, ensuring consistency, quality, and efficient utilization of resources.
| Service Area | Technical Deliverables | Standard Specifications | Quality Control Metrics |
|---|---|---|---|
| DNA/RNA Extraction | Extracted DNA/RNA samples | Minimum concentration: >10 ng/µL for DNA, >5 ng/µL for RNA; Purity (A260/A280): 1.8-2.1 for DNA, 1.9-2.2 for RNA; Purity (A260/A230): >1.8 | Gel electrophoresis for integrity, Qubit/Nanodrop for quantification, Bioanalyzer/Tapestation for RNA integrity number (RIN) |
| NGS Library Preparation | Indexed sequencing libraries | Library insert size distribution: specified range based on application (e.g., 300-500 bp for exome, 150-300 bp for RNA-Seq) | Qubit/Nanodrop for quantification, Bioanalyzer/Tapestation for size distribution and library yield |
| Whole Genome Sequencing (WGS) | Raw sequence reads (FASTQ format) | Sequencing depth: >30x for human genomes, >50x for complex genomes; Read length: 150 bp paired-end; Base quality: Phred Q30 > 80% | Raw read quality assessment (FastQC), adapter trimming, duplication rate estimation |
| RNA Sequencing (RNA-Seq) | Raw sequence reads (FASTQ format), aligned reads (BAM/SAM format), gene expression counts | Sequencing depth: 30-50 million reads per sample for human/mouse; rRNA depletion or poly(A) selection; Read length: 150 bp paired-end; Base quality: Phred Q30 > 80% | Raw read quality assessment (FastQC), adapter trimming, rRNA contamination assessment, alignment quality (e.g., RSeQC metrics), gene body coverage |
| Sanger Sequencing | Electropherograms (ABI format), sequence data (FASTA format) | Clean sequence trace with high signal-to-noise ratio; minimum read length: 500 bp | Sequence trace quality assessment, manual inspection of chromatograms |
| qPCR | Ct values, amplification curves | Minimum R² > 0.98 for standard curve; Efficiency 90-110%; Single peak in melting curve analysis | Amplification curve shape, melting curve analysis, presence of primer dimers |
| Bioinformatics Analysis | Variant call files (VCF), gene expression matrices, differential expression tables, genome annotations, reports | Standard bioinformatics pipelines and tools as per application; clear data provenance and documentation | Reported QC metrics for each analysis step, consistency checks, comparison with public datasets where applicable |
Genomic Services Offered
- DNA/RNA Extraction and Quality Control
- Library Preparation (e.g., NGS libraries, qPCR arrays)
- Next-Generation Sequencing (NGS) (e.g., Whole Genome Sequencing, Exome Sequencing, RNA-Seq, ChIP-Seq, Metagenomics)
- Sanger Sequencing
- Genotyping (e.g., SNP arrays, ddRAD-Seq)
- Quantitative PCR (qPCR)
- Bioinformatics Analysis and Data Management
Service Level Agreement For Genomics Core Facilities
This Service Level Agreement (SLA) outlines the response times and uptime guarantees for the Genomics Core Facilities. It is designed to ensure predictable and reliable service delivery to our users. This SLA applies to all services offered by the Genomics Core Facilities, including but not limited to sequencing, genotyping, and bioinformatics support.
| Service Category | Response Time (Business Days) | Uptime Guarantee (%) | Notes |
|---|---|---|---|
| Initial Inquiry/Consultation | 2 | N/A | For new projects or general inquiries. |
| Sample Submission Confirmation | 1 | N/A | Acknowledgement of received samples. |
| Sequencing Data Delivery (Raw) | Varies by platform and sample volume. See project-specific timelines. | 95% | Excludes scheduled maintenance and unforeseen equipment failures beyond our immediate control. |
| Genotyping Data Delivery | Varies by array type and sample volume. See project-specific timelines. | 95% | Excludes scheduled maintenance and unforeseen equipment failures beyond our immediate control. |
| Basic Bioinformatics Data Processing (e.g., QC reports, alignment) | 3-5 | 95% | Dependent on data volume and complexity. Advanced analysis may have longer turnaround times. |
| Bioinformatics Support (Troubleshooting/Guidance) | 3 | N/A | For technical questions related to data analysis. |
| Equipment Availability (for user-operated instruments) | N/A | 90% | Excludes scheduled maintenance. User training and booking system adherence are prerequisites. |
Scope of Services Covered
- High-throughput Sequencing (e.g., Illumina NovaSeq, PacBio Sequel)
- Genotyping services (e.g., SNP arrays, ddRADseq)
- Single-cell sequencing
- Long-read sequencing
- Bioinformatics analysis support (data processing, QC, basic analysis)
- Consultation services for experimental design
In-Depth Guidance
Frequently Asked Questions
Phase 02: Execution
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